Meng, Zhaopeng

20 publications

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

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 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

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

NeurIPS 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng

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

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

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

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

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

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

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

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

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 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