Jiechuan Jiang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Reinforcement Learning

Opponent Modeling

Top Venues

Publications

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