Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Jianhao Wang

Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration


Nov 22, 2021
Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang


  Access Paper or Ask Questions

LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates


Oct 15, 2021
Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan


  Access Paper or Ask Questions

Offline Reinforcement Learning with Reverse Model-based Imagination


Oct 01, 2021
Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang


  Access Paper or Ask Questions

Efficient Hierarchical Exploration with Stable Subgoal Representation Learning


May 31, 2021
Siyuan Li, Jin Zhang, Jianhao Wang, Chongjie Zhang


  Access Paper or Ask Questions

QPLEX: Duplex Dueling Multi-Agent Q-Learning


Aug 03, 2020
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang


  Access Paper or Ask Questions

Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning


Jun 23, 2020
Jianhao Wang, Zhizhou Ren, Beining Han, Chongjie Zhang


  Access Paper or Ask Questions

Learn to Effectively Explore in Context-Based Meta-RL


Jun 15, 2020
Jin Zhang, Jianhao Wang, Hao Hu, Yingfeng Chen, Changjie Fan, Chongjie Zhang

* Committed to NeurIPS 2020 

  Access Paper or Ask Questions

Influence-Based Multi-Agent Exploration


Oct 12, 2019
Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang


  Access Paper or Ask Questions

Learning Nearly Decomposable Value Functions Via Communication Minimization


Oct 11, 2019
Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang


  Access Paper or Ask Questions

Object-Oriented Dynamics Learning through Multi-Level Abstraction


May 25, 2019
Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Chongjie Zhang

* Accepted to Deep Reinforcement Learning Workshop and Modeling the Physical World: Learning, Perception, and Control Workshop at NeurIPS 2018 

  Access Paper or Ask Questions