Hao, Jianye

180 publications

TMLR 2026 Extracting and Following Paths for Robust Relational Reasoning with Large Language Models Ge Zhang, Mohammad Ali Alomrani, Hongjian Gu, Jiaming Zhou, Yaochen Hu, Bin Wang, Qun Liu, Mark Coates, Yingxue Zhang, Jianye Hao

ICLR 2025 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie

ICLR 2025 A Graph Enhanced Symbolic Discovery Framework for Efficient Logic Optimization Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye Hao, Feng Wu

ICLRW 2025 ARIES: Stimulating Self-Refinement of Large Language Models with and for Iterative Preference Optimization Yongcheng Zeng, Xuanfa Jin, Guoqing Liu, Quan He, Dong Li, Jianye Hao, Haifeng Zhang, Jun Wang

ICML 2025 Accelerating Large Language Model Reasoning via Speculative Search Zhihai Wang, Jie Wang, Jilai Pan, Xilin Xia, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Feng Wu

NeurIPS 2025 Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference Zijie Geng, Jie Wang, Ziqi Liu, Feng Ju, Yiming Li, Xing Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

ICLR 2025 Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu

ICLRW 2025 AppVLM: A Lightweight Vision Language Model for Online App Control Georgios Papoudakis, Thomas Coste, Zhihao Wu, Jianye Hao, Jun Wang, Kun Shao

NeurIPS 2025 AttentionPredictor: Temporal Patterns Matter for KV Cache Compression Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye Hao, Mingxuan Yuan, Bin Li

NeurIPS 2025 Benchmarking End-to-End Performance of AI-Based Chip Placement Algorithms Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Feng Wu

ICML 2025 Boosting Multi-Domain Fine-Tuning of Large Language Models Through Evolving Interactions Between Samples Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao

NeurIPS 2025 COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space Pengyi Li, Hongyao Tang, Yifu Yuan, Jianye Hao, Zibin Dong, Yan Zheng

NeurIPS 2025 CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning Pengyi Li, Shixiong Kai, Jianye Hao, Ruizhe Zhong, Hongyao Tang, Zhentao Tang, Mingxuan Yuan, Junchi Yan

ICLR 2025 Computing Circuits Optimization via Model-Based Circuit Genetic Evolution Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Feng Wu

NeurIPS 2025 Conditioning Matters: Training Diffusion Policies Is Faster than You Think Zibin Dong, Yicheng Liu, Yinchuan Li, Hang Zhao, Jianye Hao

ICLR 2025 Differentiable Integer Linear Programming Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye Hao, Bin Li, Feng Wu

ICLR 2025 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao

NeurIPS 2025 Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph Mingxuan Ye, Jie Wang, Fangzhou Zhu, Zhihai Wang, Yufei Kuang, Xijun Li, Weilin Luo, Jianye Hao, Feng Wu

CVPR 2025 EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights Zhenghao Xing, Hao Chen, Binzhu Xie, Jiaqi Xu, Ziyu Guo, Xuemiao Xu, Jianye Hao, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng

NeurIPS 2025 High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search Xilin Xia, Jie Wang, Wanbo Zhang, Zhihai Wang, Mingxuan Yuan, Jianye Hao, Feng Wu

ICML 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

AAAI 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

ICLR 2025 LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Feng Wu

NeurIPS 2025 LaRes: Evolutionary Reinforcement Learning with LLM-Based Adaptive Reward Search Pengyi Li, Hongyao Tang, Jinbin Qiao, Yan Zheng, Jianye Hao

ICLR 2025 Lightweight Neural App Control Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao

NeurIPS 2025 LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-Step Synthetic Logical Data Zehao Wang, Lin Yang, Jie Wang, Kehan Wang, Hanzhu Chen, Bin Wang, Jianye Hao, Defu Lian, Bin Li, Enhong Chen

ICML 2025 MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye Hao

NeurIPS 2025 OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling Haoyang Liu, Jie Wang, Yuyang Cai, Xiongwei Han, Yufei Kuang, Jianye Hao

ICML 2025 R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models Pengyi Li, Jianye Hao, Hongyao Tang, Yifu Yuan, Jinbin Qiao, Zibin Dong, Yan Zheng

IJCAI 2025 Reinforced In-Context Black-Box Optimization Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian

ICCV 2025 RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-Horizon Robot Demonstration Longxin Kou, Fei Ni, Yan Zheng, Peilong Han, Jinyi Liu, Haiqin Cui, Rui Liu, Jianye Hao

ICML 2025 STAR: Learning Diverse Robot Skill Abstractions Through Rotation-Augmented Vector Quantization Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie

AAAI 2025 SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates Xi Zeng, Fei Ni, Shaoqing Jiao, Dazhi Lu, Jianye Hao, Jiajie Peng

ICLR 2025 Spa-Bench: A Comprehensive Benchmark for Smartphone Agent Evaluation Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao

CVPR 2025 Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie

NeurIPS 2025 Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao

IJCAI 2025 The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chételat, Dimitrios Tsaras, Yingxue Zhang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan

ICML 2025 Trajectory World Models for Heterogeneous Environments Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long

ICLRW 2025 Trajectory World Models for Heterogeneous Environments Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long

NeurIPS 2025 Uncertainty-Quantified Rollout Policy Adaptation for Unlabelled Cross-Domain Video Temporal Grounding Jian Hu, Zixu Cheng, Shaogang Gong, Isabel Guan, Jianye Hao, Jun Wang, Kun Shao

ICML 2024 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

ICML 2024 A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design Zhihai Wang, Jie Wang, Dongsheng Zuo, Ji Yunjie, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu

MLJ 2024 A Survey on Interpretable Reinforcement Learning Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu

AAAI 2024 A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor

ICLR 2024 AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu

ICMLW 2024 CPeSFA: Empowering SFs for Policy Learning and Transfer in Continuous Action Spaces Yining Li, Tianpei Yang, Wei Guo, Jianye Hao, Yan Zheng

NeurIPS 2024 CleanDiffuser: An Easy-to-Use Modularized Library for Diffusion Models in Decision Making Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng

NeurIPS 2024 DiffuserLite: Towards Real-Time Diffusion Planning Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng

NeurIPSW 2024 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent Taiyi Wang, Zhihao Wu, Jianheng Liu, Derek Yuen, Jianye Hao, Jun Wang, Kun Shao

IJCAI 2024 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng

ICML 2024 EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao

MLJ 2024 Exploiting Counter-Examples for Active Learning with Partial Labels Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han

NeurIPS 2024 FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan

CVPR 2024 Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Jiashun Liu, Yan Zheng, Bin Wang, Yuzheng Zhuang

ICML 2024 HarmonyDream: Task Harmonization Inside World Models Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long

NeurIPSW 2024 HuLE-Nav: Human-like Exploration for Zero-Shot Object Navigation via Vision-Language Models Peilong Han, Min Zhang, Jianye Hao, Hongyao Tang, Yan Zheng

UAI 2024 Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-Based Monte Carlo Tree Search Jiashun Liu, Xiaotian Hao, Jianye Hao, Yan Zheng, Yujing Hu, Changjie Fan, Tangjie Lv, Zhipeng Hu

ICML 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

CVPR 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou

NeurIPS 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning Yi Ma, Jianye Hao, Xiaohan Hu, Yan Zheng, Chenjun Xiao

ICML 2024 KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations Longxin Kou, Fei Ni, Yan Zheng, Jinyi Liu, Yifu Yuan, Zibin Dong, Jianye Hao

NeurIPSW 2024 Lightweight Neural App Control Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao

ICMLW 2024 Minimax Tree of Thoughts: Playing Two-Player Zero-Sum Sequential Games with Large Language Models Wei Guo, Xiaotian Hao, Jianye Hao, Yan Zheng

AAAI 2024 Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng

AAAI 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun

NeurIPS 2024 PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Yifu Yuan, Zibin Dong, Jinyi Liu, Mingzhi Li, Yuzheng Zhuang, Yan Zheng

AAAI 2024 PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor

AAAI 2024 PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-Training, Local Delay Learning and Attentional Cell Modeling Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan

ICML 2024 Reinforcement Learning Within Tree Search for Fast Macro Placement Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

ICLR 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu

ICML 2024 Rethinking Decision Transformer via Hierarchical Reinforcement Learning Yi Ma, Jianye Hao, Hebin Liang, Chenjun Xiao

ICML 2024 Sample-Efficient Multiagent Reinforcement Learning with Reset Replay Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng

ICLR 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian

NeurIPSW 2024 Self-Supervised Bisimulation Action Chunk Representation for Efficient RL Lei Shi, Jianye Hao, Hongyao Tang, Zibin Dong, Yan Zheng

ICMLW 2024 SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao

NeurIPSW 2024 Spa-Bench: A Comprehensive Benchmark for Smartphone Agent Evaluation Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao

NeurIPS 2024 The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in a Low-Dimensional Space Hongyao Tang, Min Zhang, Chen Chen, Jianye Hao

ICML 2024 Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu

NeurIPS 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework Zhihai Wang, Jie Wang, Qingyue Yang, Yinqi Bai, Xing Li, Lei Chen, Jianye Hao, Mingxuan Yuan, Bin Li, Yongdong Zhang, Feng Wu

ICLR 2024 Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng

ICML 2024 Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation Jiashun Liu, Jianye Hao, Yi Ma, Shuyin Xia

NeurIPS 2024 Unlock the Intermittent Control Ability of Model Free Reinforcement Learning Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, Yan Zheng, Yujing Hu, Tangji Lv

ICML 2024 Value-Evolutionary-Based Reinforcement Learning Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez

ICMLW 2024 What Can VLMs Do for Zero-Shot Embodied Task Planning? Xian Fu, Min Zhang, Jianye Hao, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang

NeurIPS 2024 iVideoGPT: Interactive VideoGPTs Are Scalable World Models Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long

IJCAI 2024 vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan

ICMLW 2023 A Policy-Decoupled Method for High-Quality Data Augmentation in Offline Reinforcement Learning Shixi Lian, Yi Ma, Jinyi Liu, Jianye Hao, Yan Zheng, Zhaopeng Meng

ICLR 2023 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang

ICMLW 2023 Boosting Off-Policy RL with Policy Representation and Policy-Extended Value Function Approximator Min Zhang, Jianye Hao, Hongyao Tang, Yan Zheng

ICLR 2023 CFlowNets: Continuous Control with Generative Flow Networks Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao

ICML 2023 ChiPFormer: Transferable Chip Placement via Offline Decision Transformer Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo

CVPR 2023 Co-Speech Gesture Synthesis by Reinforcement Learning with Contrastive Pre-Trained Rewards Mingyang Sun, Mengchen Zhao, Yaqing Hou, Minglei Li, Huang Xu, Songcen Xu, Jianye Hao

ICLR 2023 DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang

TMLR 2023 Differentiable Logic Machines Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu

ICLR 2023 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng

ICLR 2023 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-Choice Dynamics Model Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

IJCAI 2023 Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao

ICMLW 2023 Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai Zhao, Yi Ma, Jinyi Liu, Jianye Hao, Yan Zheng, Zhaopeng Meng

NeurIPSW 2023 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning Xiaohan Hu, Yi Ma, Chenjun Xiao, Yan Zheng, Jianye Hao

ICLR 2023 Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia

ICMLW 2023 Limited Information Opponent Modeling Yongliang Lv, Yan Zheng, Jianye Hao

ICML 2023 MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang

AAAI 2023 Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo

AAAI 2023 Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng

ICLR 2023 Out-of-Distribution Detection with Implicit Outlier Transformation Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han

NeurIPSW 2023 PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor

ICLRW 2023 Prototypical Context-Aware Dynamics Generalization for High-Dimensional Model-Based Reinforcement Learning Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao

ICML 2023 RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu

AISTATS 2023 Spectral Augmentations for Graph Contrastive Learning Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates

AAAI 2023 SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao

AAAI 2023 Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates

ICCV 2023 Traj-MAE: Masked Autoencoders for Trajectory Prediction Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng

ECML-PKDD 2022 Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang

UAI 2022 Cross-Domain Adaptive Transfer Reinforcement Learning Based on State-Action Correspondence Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, E. Taylor

NeurIPS 2022 DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo

NeurIPSW 2022 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng

NeurIPSW 2022 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-Choice Dynamics Model Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

NeurIPS 2022 GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu

JAIR 2022 HEBO: An Empirical Study of Assumptions in Bayesian Optimisation Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar

ICLR 2022 HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang

ICML 2022 Individual Reward Assisted Multi-Agent Reinforcement Learning Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan

ICML 2022 Learning Pseudometric-Based Action Representations for Offline Reinforcement Learning Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An

ICLR 2022 Learning State Representations via Retracing in Reinforcement Learning Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess

NeurIPS 2022 Multiagent Q-Learning with Sub-Team Coordination Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng

ICML 2022 Neuro-Symbolic Hierarchical Rule Induction Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao

ICLR 2022 Online Ad Hoc Teamwork Under Partial Observability Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An

ICLRW 2022 PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations Sang Tong, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang

IJCAI 2022 PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang

ICML 2022 PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang

ICML 2022 Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang

NeurIPS 2022 Plan to Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo

NeurIPSW 2022 Planning Immediate Landmarks of Targets for Model-Free Skill Transfer Across Agents Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao

CoRL 2022 Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao

NeurIPS 2022 The Policy-Gradient Placement and Generative Routing Neural Networks for Chip Design Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan

NeurIPSW 2022 Towards a Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng

NeurIPSW 2022 A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective Xinwei Zhang, Nicola Elia, Mingyi Hong

NeurIPS 2022 Transformer-Based Working Memory for Multiagent Reinforcement Learning with Action Parsing Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng

NeurIPS 2022 Versatile Multi-Stage Graph Neural Network for Circuit Representation Shuwen Yang, Zhihao Yang, Dong Li, Yingxueff Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao

AAAI 2022 What About Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang

NeurIPS 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-Scale Dynamic Pickup and Delivery Problems Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Tong Xialiang, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng

NeurIPS 2021 Adaptive Online Packing-Guided Search for POMDPs Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao

AAAI 2021 Addressing Action Oscillations Through Learning Policy Inertia Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng

NeurIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang

CVPR 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang

NeurIPS 2021 Dynamic Bottleneck for Robust Self-Supervised Exploration Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

NeurIPS 2021 Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng

AAAI 2021 Foresee Then Evaluate: Decomposing Value Estimation with Latent Future Prediction Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao

NeurIPSW 2021 HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang

NeurIPS 2021 Model-Based Reinforcement Learning via Imagination with Derived Memory Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao

NeurIPSW 2021 OVD-Explorer: A General Information-Theoretic Exploration Approach for Reinforcement Learning Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Junjie Ye, Chenjia Bai, Pengyi Li

IJCAI 2021 Ordering-Based Causal Discovery with Reinforcement Learning Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang

ICML 2021 Principled Exploration via Optimistic Bootstrapping and Backward Induction Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

AAAI 2021 Towards Effective Context for Meta-Reinforcement Learning: An Approach Based on Contrastive Learning Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu

ICLR 2020 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao

AAAI 2020 Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu

ICML 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai

IJCAI 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng

AAAI 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao

IJCAI 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu

IJCAI 2020 KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng

IJCAI 2020 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted B-Matching Problems in Online Advertising Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

NeurIPS 2020 Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan

AAAI 2020 Multi-Agent Game Abstraction via Graph Attention Neural Network Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao

AAAI 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao

ICML 2020 Q-Value Path Decomposition for Deep Multiagent Reinforcement Learning Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei

CoRL 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang

IJCAI 2020 Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu

AAAI 2019 An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang

IJCAI 2019 Building Personalized Simulator for Interactive Search Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong

IJCAI 2019 Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan

IJCAI 2019 Explicitly Coordinated Policy Iteration Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao

IJCAI 2019 Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu

IJCAI 2019 Towards Efficient Detection and Optimal Response Against Sophisticated Opponents Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng

NeurIPS 2018 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan

IJCAI 2018 Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac

IJCAI 2017 Defending Against Man-in-the-Middle Attack in Repeated Games Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang

AAAI 2017 Optimal Personalized Defense Strategy Against Man-in-the-Middle Attack Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An

IJCAI 2013 The Dynamics of Reinforcement Social Learning in Cooperative Multiagent Systems Jianye Hao, Ho-fung Leung