Jiang, Jiechuan

15 publications

UAI 2025 Best Possible Q-Learning Jiechuan Jiang, Zongqing Lu
ICML 2025 Cradle: Empowering Foundation Agents Towards General Computer Control Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu
NeurIPSW 2024 Cradle: Empowering Foundation Agents Towards General Computer Control Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Gang Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, YuJie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu
NeurIPS 2024 Opponent Modeling Based on Subgoal Inference Xiaopeng Yu, Jiechuan Jiang, Zongqing Lu
ICLRW 2024 Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu
NeurIPS 2023 Learning from Visual Observation via Offline Pretrained State-to-Go Transformer Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu
AAAI 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning Jiechuan Jiang, Zongqing Lu
NeurIPS 2022 I2Q: A Fully Decentralized Q-Learning Algorithm Jiechuan Jiang, Zongqing Lu
NeurIPS 2022 Model-Based Opponent Modeling XiaoPeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu
NeurIPS 2022 Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang
ICML 2021 The Emergence of Individuality Jiechuan Jiang, Zongqing Lu
AAAI 2020 Generative Exploration and Exploitation Jiechuan Jiang, Zongqing Lu
ICLR 2020 Graph Convolutional Reinforcement Learning Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu
NeurIPS 2019 Learning Fairness in Multi-Agent Systems Jiechuan Jiang, Zongqing Lu
NeurIPS 2018 Learning Attentional Communication for Multi-Agent Cooperation Jiechuan Jiang, Zongqing Lu