Jiechuan Jiang

According to our database, Jiechuan Jiang authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges.

Xinrun Xu, Yuxin Wang, Chaoyi Xu, Ziluo Ding, Jiechuan Jiang, Zhiming Ding, Börje F. Karlsson

CoRR, 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

CoRR, 2024

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey.

Jiechuan Jiang, Kefan Su, Zongqing Lu

CoRR, 2024

2023

Model-Based Decentralized Policy Optimization.

Hao Luo, Jiechuan Jiang, Zongqing Lu

CoRR, 2023

Best Possible Q-Learning.

Jiechuan Jiang, Zongqing Lu

CoRR, 2023

Learning from Visual Observation via Offline Pretrained State-to-Go Transformer.

Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Offline Decentralized Multi-Agent Reinforcement Learning.

Jiechuan Jiang, Zongqing Lu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Adaptive Learning Rates for Multi-Agent Reinforcement Learning.

Jiechuan Jiang, Zongqing Lu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning.

Jiechuan Jiang, Zongqing Lu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Model-Based Opponent Modeling.

Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

I2Q: A Fully Decentralized Q-Learning Algorithm.

Jiechuan Jiang, Zongqing Lu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Model-Based Opponent Modeling.

Xiaopeng Yu, Jiechuan Jiang, Haobin Jiang, Zongqing Lu

CoRR, 2021

The Emergence of Individuality.

Jiechuan Jiang, Zongqing Lu

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

The Emergence of Individuality in Multi-Agent Reinforcement Learning.

Jiechuan Jiang, Zongqing Lu

CoRR, 2020

Graph Convolutional Reinforcement Learning.

Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu

Proceedings of the 8th International Conference on Learning Representations, 2020

Generative Exploration and Exploitation.

Jiechuan Jiang, Zongqing Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Fairness in Multi-Agent Systems.

Jiechuan Jiang, Zongqing Lu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation.

Jiechuan Jiang, Chen Dun, Zongqing Lu

CoRR, 2018

Learning Attentional Communication for Multi-Agent Cooperation.

Jiechuan Jiang, Zongqing Lu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018