Tonghan Wang

According to our database, Tonghan Wang authored at least 29 papers between 2018 and 2025.

Collaborative distances:

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

2025

Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning.

Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang

IEEE Trans. Neural Networks Learn. Syst., February, 2025

2024

On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow.

Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe

CoRR, 2024

The Bandit Whisperer: Communication Learning for Restless Bandits.

Yunfan Zhao, Tonghan Wang, Dheeraj Nagaraj, Aparna Taneja, Milind Tambe

CoRR, 2024

Principal-Agent Reinforcement Learning.

Dima Ivanov, Paul Dütting, Inbal Talgam-Cohen, Tonghan Wang, David C. Parkes

CoRR, 2024

Social Environment Design.

Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

CoRR, 2024

GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning.

Tonghan Wang, Yanchen Jiang, David C. Parkes

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Position: Social Environment Design Should be Further Developed for AI-based Policy-Making.

Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multi-Sender Persuasion: A Computational Perspective.

Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Never Explore Repeatedly in Multi-Agent Reinforcement Learning.

Chenghao Li, Tonghan Wang, Chongjie Zhang, Qianchuan Zhao

CoRR, 2023

Deep Contract Design via Discontinuous Piecewise Affine Neural Networks.

Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes

CoRR, 2023

Deep Contract Design via Discontinuous Networks.

Tonghan Wang, Paul Duetting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes

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

Symmetry-Aware Robot Design with Structured Subgroups.

Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Multi-Agent Policy Transfer via Task Relationship Modeling.

Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Zongzhang Zhang, Chongjie Zhang, Yang Yu

CoRR, 2022

Non-Linear Coordination Graphs.

Yipeng Kang, Tonghan Wang, Qianlan Yang, Xiaoran Wu, Chongjie Zhang

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.

Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang

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.

Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang

Proceedings of the International Conference on Machine Learning, 2022

Context-Aware Sparse Deep Coordination Graphs.

Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Containerized Distributed Value-Based Multi-Agent Reinforcement Learning.

Siyang Wu, Tonghan Wang, Chenghao Li, Chongjie Zhang

CoRR, 2021

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

Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang

CoRR, 2021

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning.

Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang

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.

Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

RODE: Learning Roles to Decompose Multi-Agent Tasks.

Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Off-Policy Multi-Agent Decomposed Policy Gradients.

Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang

CoRR, 2020

Incorporating Pragmatic Reasoning Communication into Emergent Language.

Yipeng Kang, Tonghan Wang, Gerard de Melo

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.

Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Nearly Decomposable Value Functions Via Communication Minimization.

Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang

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

Influence-Based Multi-Agent Exploration.

Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang

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.

Xinliang Song, Tonghan Wang, Chongjie Zhang

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.

Tonghan Wang, Xueying Qin, Fan Zhong, Xinmeng Tong, Baoquan Chen, Ming C. Lin

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2018