Tonghan Wang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 31

Top Topics

Bounded Treewidth

Reinforcement Learning

Matrix Decomposition

Object Representation

Top Venues

Publications

Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang
Symmetry-Aware Robot Design with Structured Subgroups. ICML (2023)
Chenghao Li, Tonghan Wang, Chongjie Zhang, Qianchuan Zhao
Never Explore Repeatedly in Multi-Agent Reinforcement Learning. CoRR (2023)
Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang
Symmetry-Aware Robot Design with Structured Subgroups. CoRR (2023)
Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Zongzhang Zhang, Chongjie Zhang, Yang Yu
Multi-Agent Policy Transfer via Task Relationship Modeling. CoRR (2022)
Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
Context-Aware Sparse Deep Coordination Graphs. ICLR (2022)
Yipeng Kang, Tonghan Wang, Xiaoran Wu, Qianlan Yang, Chongjie Zhang
Non-Linear Coordination Graphs. CoRR (2022)
Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
Low-Rank Modular Reinforcement Learning via Muscle Synergy. NeurIPS (2022)
Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang
Self-Organized Polynomial-Time Coordination Graphs. ICML (2022)
Yipeng Kang, Tonghan Wang, Qianlan Yang, Xiaoran Wu, Chongjie Zhang
Non-Linear Coordination Graphs. NeurIPS (2022)
Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
Low-Rank Modular Reinforcement Learning via Muscle Synergy. CoRR (2022)
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
RODE: Learning Roles to Decompose Multi-Agent Tasks. ICLR (2021)
Chenghao Li, Chengjie Wu, Tonghan Wang, Jun Yang, Qianchuan Zhao, Chongjie Zhang
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. CoRR (2021)
Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang
Self-Organized Polynomial-Time Coordination Graphs. CoRR (2021)
Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients. ICLR (2021)
Siyang Wu, Tonghan Wang, Chenghao Li, Chongjie Zhang
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning. CoRR (2021)
Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL. CoRR (2021)
Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
Context-Aware Sparse Deep Coordination Graphs. CoRR (2021)
Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. NeurIPS (2021)
Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. CoRR (2020)
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
RODE: Learning Roles to Decompose Multi-Agent Tasks. CoRR (2020)
Yipeng Kang, Tonghan Wang, Gerard de Melo
Incorporating Pragmatic Reasoning Communication into Emergent Language. NeurIPS (2020)
Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
Influence-Based Multi-Agent Exploration. ICLR (2020)
Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang
Learning Nearly Decomposable Value Functions Via Communication Minimization. ICLR (2020)
Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. ICML (2020)
Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang
Off-Policy Multi-Agent Decomposed Policy Gradients. CoRR (2020)
Yipeng Kang, Tonghan Wang, Gerard de Melo
Incorporating Pragmatic Reasoning Communication into Emergent Language. CoRR (2020)
Xinliang Song, Tonghan Wang, Chongjie Zhang
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. AAMAS (2019)
Xinliang Song, Tonghan Wang, Chongjie Zhang
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. CoRR (2019)
Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
Influence-Based Multi-Agent Exploration. CoRR (2019)
Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang
Learning Nearly Decomposable Value Functions Via Communication Minimization. CoRR (2019)
Tonghan Wang, Xueying Qin, Fan Zhong, Xinmeng Tong, Baoquan Chen, Ming C. Lin
Compact Object Representation of a Non-Rigid Object for Real-Time Tracking in AR Systems. ISMAR Adjunct (2018)