Jiechuan Jiang

29 papers A* 12A 4Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Best Possible Q-Learning. UAI Jiechuan Jiang, Zongqing Lu
2025	A*	`conf`	Cradle: Empowering Foundation Agents towards General Computer Control. ICML 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
2024	J	`jnl`	A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges. CoRR Xinrun Xu, Yuxin Wang, Chaoyi Xu, Ziluo Ding, Jiechuan Jiang, Zhiming Ding, Börje F. Karlsson
2024	J	`jnl`	Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey. CoRR Jiechuan Jiang, Kefan Su, Zongqing Lu
2024	A	`conf`	Multi-Agent Alternate Q-Learning. AAMAS Kefan Su, Siyuan Zhou, Jiechuan Jiang, Chuang Gan, Xiangjun Wang, Zongqing Lu
2024	A*	`conf`	Opponent Modeling based on Subgoal Inference. NeurIPS Xiaopeng Yu, Jiechuan Jiang, Zongqing Lu
2024	J	`jnl`	Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. CoRR 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
2023	A	`conf`	Adaptive Learning Rates for Multi-Agent Reinforcement Learning. AAMAS Jiechuan Jiang, Zongqing Lu
2023	J	`jnl`	Best Possible Q-Learning. CoRR Jiechuan Jiang, Zongqing Lu
2023	A*	`conf`	Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. NeurIPS Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu
2023	J	`jnl`	Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. CoRR Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu
2023	J	`jnl`	Model-Based Decentralized Policy Optimization. CoRR Hao Luo, Jiechuan Jiang, Zongqing Lu
2023	A	`conf`	Offline Decentralized Multi-Agent Reinforcement Learning. ECAI Jiechuan Jiang, Zongqing Lu
2023	A*	`conf`	Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. AAAI Jiechuan Jiang, Zongqing Lu
2022	A*	`conf`	I2Q: A Fully Decentralized Q-Learning Algorithm. NeurIPS Jiechuan Jiang, Zongqing Lu
2022	A*	`conf`	Model-Based Opponent Modeling. NeurIPS Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu
2022	A*	`conf`	Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang
2021	J	`jnl`	Model-Based Opponent Modeling. CoRR Xiaopeng Yu, Jiechuan Jiang, Haobin Jiang, Zongqing Lu
2021	J	`jnl`	Offline Decentralized Multi-Agent Reinforcement Learning. CoRR Jiechuan Jiang, Zongqing Lu
2021	A*	`conf`	The Emergence of Individuality. ICML Jiechuan Jiang, Zongqing Lu
2020	A*	`conf`	Generative Exploration and Exploitation. AAAI Jiechuan Jiang, Zongqing Lu
2020	A*	`conf`	Graph Convolutional Reinforcement Learning. ICLR Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu
2020	J	`jnl`	The Emergence of Individuality in Multi-Agent Reinforcement Learning. CoRR Jiechuan Jiang, Zongqing Lu
2019	J	`jnl`	Generative Exploration and Exploitation. CoRR Jiechuan Jiang, Zongqing Lu
2019	A*	`conf`	Learning Fairness in Multi-Agent Systems. NeurIPS Jiechuan Jiang, Zongqing Lu
2019	J	`jnl`	Learning Fairness in Multi-Agent Systems. CoRR Jiechuan Jiang, Zongqing Lu
2018	J	`jnl`	Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation. CoRR Jiechuan Jiang, Chen Dun, Zongqing Lu
2018	A*	`conf`	Learning Attentional Communication for Multi-Agent Cooperation. NeurIPS Jiechuan Jiang, Zongqing Lu
2018	J	`jnl`	Learning Attentional Communication for Multi-Agent Cooperation. CoRR Jiechuan Jiang, Zongqing Lu