Tonghan Wang

Affiliations:
  • Tsinghua University, Beijing, China
  • Shandong University, China (former)


According to our database1, Tonghan Wang authored at least 19 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Never Explore Repeatedly in Multi-Agent Reinforcement Learning.
CoRR, 2023

Symmetry-Aware Robot Design with Structured Subgroups.
Proceedings of the International Conference on Machine Learning, 2023

2022
Multi-Agent Policy Transfer via Task Relationship Modeling.
CoRR, 2022

Non-Linear Coordination Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Low-Rank Modular Reinforcement Learning via Muscle Synergy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-Organized Polynomial-Time Coordination Graphs.
Proceedings of the International Conference on Machine Learning, 2022

Context-Aware Sparse Deep Coordination Graphs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning.
CoRR, 2021

Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL.
CoRR, 2021

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DOP: Off-Policy Multi-Agent Decomposed Policy Gradients.
Proceedings of the 9th International Conference on Learning Representations, 2021

RODE: Learning Roles to Decompose Multi-Agent Tasks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Off-Policy Multi-Agent Decomposed Policy Gradients.
CoRR, 2020

Incorporating Pragmatic Reasoning Communication into Emergent Language.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ROMA: Multi-Agent Reinforcement Learning with Emergent Roles.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Nearly Decomposable Value Functions Via Communication Minimization.
Proceedings of the 8th International Conference on Learning Representations, 2020

Influence-Based Multi-Agent Exploration.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Compact Object Representation of a Non-Rigid Object for Real-Time Tracking in AR Systems.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2018


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