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

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning

Dec 06, 2020
Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang

* 7 pages,12 figures 

  Access Paper or Ask Questions

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning

Oct 23, 2020
Guangxiang Zhu, Minghao Zhang, Honglak Lee, Chongjie Zhang

* Published on 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 

  Access Paper or Ask Questions

RODE: Learning Roles to Decompose Multi-Agent Tasks

Oct 04, 2020
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, 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

Off-Policy Multi-Agent Decomposed Policy Gradients

Jul 24, 2020
Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang


  Access Paper or Ask Questions

SOAC: The Soft Option Actor-Critic Architecture

Jun 25, 2020
Chenghao Li, Xiaoteng Ma, Chongjie Zhang, Jun Yang, Li Xia, Qianchuan Zhao


  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

Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards

Oct 10, 2019
Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang

* Camera ready version for NeurIPS 2019 

  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

Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games

Mar 07, 2019
Xinliang Song, Tonghan Wang, Chongjie Zhang

* AAMAS 2019 

  Access Paper or Ask Questions

Object-Oriented Dynamics Predictor

Oct 30, 2018
Guangxiang Zhu, Zhiao Huang, Chongjie Zhang

* Accepted to NIPS 2018 

  Access Paper or Ask Questions

Context-Aware Policy Reuse

Jun 28, 2018
Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang

* This version is the preprint for the submission of NIPS 2018 

  Access Paper or Ask Questions

An Optimal Online Method of Selecting Source Policies for Reinforcement Learning

Sep 24, 2017
Siyuan Li, Chongjie Zhang


  Access Paper or Ask Questions