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ORCIDTonghan Wang 0001
Person information
- affiliation: Harvard University, Cambridge, MA, USA
- affiliation (former): Tsinghua University, Beijing, China
- affiliation (former): Shandong University, China
Other persons with the same name
- Tonghan Wang 0002
![[0009-0005-1959-750X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0005-1959-750X")
— East China University of Technology, Nanchang, Jiangxi, China (and 1 more)
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Journal Articles
- 2025
[j2]Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang:
Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2051-2065 (2025)- 2024
- [j1]Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Yipeng Kang, Zongzhang Zhang, Chongjie Zhang, Yang Yu:
Multi-agent policy transfer via task relationship modeling. Sci. China Inf. Sci. 67(8) (2024)
Conference and Workshop Papers
- 2025
- [c19]Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj, Aparna Taneja, Milind Tambe:
The Bandit Whisperer: Communication Learning for Restless Bandits. AAAI 2025: 23404-23413 - 2024
- [c18]Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu:
Multi-Sender Persuasion: A Computational Perspective. ICML 2024 - [c17]Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen:
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making. ICML 2024 - [c16]Tonghan Wang, Yanchen Jiang, David C. Parkes:
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning. EC 2024: 1100 - 2023
- [c15]Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang:
Symmetry-Aware Robot Design with Structured Subgroups. ICML 2023: 8334-8355 - [c14]Tonghan Wang, Paul Duetting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes:
Deep Contract Design via Discontinuous Networks. NeurIPS 2023 - 2022
- [c13]Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang:
Context-Aware Sparse Deep Coordination Graphs. ICLR 2022 - [c12]Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang:
Self-Organized Polynomial-Time Coordination Graphs. ICML 2022: 24963-24979 - [c11]Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang:
Low-Rank Modular Reinforcement Learning via Muscle Synergy. NeurIPS 2022 - [c10]Yipeng Kang, Tonghan Wang, Qianlan Yang, Xiaoran Wu, Chongjie Zhang:
Non-Linear Coordination Graphs. NeurIPS 2022 - 2021
- [c9]Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang:
RODE: Learning Roles to Decompose Multi-Agent Tasks. ICLR 2021 - [c8]Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang:
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients. ICLR 2021 - [c7]Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang:
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. NeurIPS 2021: 3991-4002 - 2020
- [c6]Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang:
Influence-Based Multi-Agent Exploration. ICLR 2020 - [c5]Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang:
Learning Nearly Decomposable Value Functions Via Communication Minimization. ICLR 2020 - [c4]Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang:
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. ICML 2020: 9876-9886 - [c3]Yipeng Kang, Tonghan Wang, Gerard de Melo:
Incorporating Pragmatic Reasoning Communication into Emergent Language. NeurIPS 2020 - 2019
- [c2]Xinliang Song, Tonghan Wang, Chongjie Zhang:
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. AAMAS 2019: 935-943 - 2018
- [c1]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: 63-68
Informal and Other Publications
- 2025
- [i28]Xinyi Yang, Liang Zeng, Heng Dong, Chao Yu, Xiaoran Wu, Huazhong Yang, Yu Wang, Milind Tambe, Tonghan Wang:
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards. CoRR abs/2502.12530 (2025) - [i27]Tonghan Wang, Yanchen Jiang, David C. Parkes:
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization. CoRR abs/2502.15283 (2025) - [i26]Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe:
Robust Optimization with Diffusion Models for Green Security. CoRR abs/2503.05730 (2025) - [i25]Davin Choo, Yuqi Pan, Tonghan Wang, Milind Tambe, Alastair van Heerden, Cheryl Johnson:
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing. CoRR abs/2505.21671 (2025) - 2024
- [i24]Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu:
Multi-Sender Persuasion - A Computational Perspective. CoRR abs/2402.04971 (2024) - [i23]Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen:
Social Environment Design. CoRR abs/2402.14090 (2024) - [i22]Tonghan Wang, Yanchen Jiang, David C. Parkes:
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning. CoRR abs/2406.07428 (2024) - [i21]Dima Ivanov, Paul Dütting, Inbal Talgam-Cohen, Tonghan Wang, David C. Parkes:
Principal-Agent Reinforcement Learning. CoRR abs/2407.18074 (2024) - [i20]Yunfan Zhao, Tonghan Wang, Dheeraj Nagaraj, Aparna Taneja, Milind Tambe:
The Bandit Whisperer: Communication Learning for Restless Bandits. CoRR abs/2408.05686 (2024) - [i19]Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe:
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow. CoRR abs/2410.13953 (2024) - 2023
- [i18]Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang:
Symmetry-Aware Robot Design with Structured Subgroups. CoRR abs/2306.00036 (2023) - [i17]Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes:
Deep Contract Design via Discontinuous Piecewise Affine Neural Networks. CoRR abs/2307.02318 (2023) - [i16]Chenghao Li, Tonghan Wang, Chongjie Zhang, Qianchuan Zhao:
Never Explore Repeatedly in Multi-Agent Reinforcement Learning. CoRR abs/2308.09909 (2023) - 2022
- [i15]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 abs/2203.04482 (2022) - [i14]Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang:
Low-Rank Modular Reinforcement Learning via Muscle Synergy. CoRR abs/2210.15479 (2022) - [i13]Yipeng Kang, Tonghan Wang, Xiaoran Wu, Qianlan Yang, Chongjie Zhang:
Non-Linear Coordination Graphs. CoRR abs/2211.08404 (2022) - 2021
- [i12]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 abs/2104.11455 (2021) - [i11]Chenghao Li, Chengjie Wu, Tonghan Wang, Jun Yang, Qianchuan Zhao, Chongjie Zhang:
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. CoRR abs/2106.02195 (2021) - [i10]Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang:
Context-Aware Sparse Deep Coordination Graphs. CoRR abs/2106.02886 (2021) - [i9]Siyang Wu, Tonghan Wang, Chenghao Li, Chongjie Zhang:
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning. CoRR abs/2110.08169 (2021) - [i8]Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang:
Self-Organized Polynomial-Time Coordination Graphs. CoRR abs/2112.03547 (2021) - 2020
- [i7]Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang:
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. CoRR abs/2003.08039 (2020) - [i6]Yipeng Kang, Tonghan Wang, Gerard de Melo:
Incorporating Pragmatic Reasoning Communication into Emergent Language. CoRR abs/2006.04109 (2020) - [i5]Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang:
Off-Policy Multi-Agent Decomposed Policy Gradients. CoRR abs/2007.12322 (2020) - [i4]Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang:
RODE: Learning Roles to Decompose Multi-Agent Tasks. CoRR abs/2010.01523 (2020) - 2019
- [i3]Xinliang Song, Tonghan Wang, Chongjie Zhang:
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. CoRR abs/1903.02868 (2019) - [i2]Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang:
Learning Nearly Decomposable Value Functions Via Communication Minimization. CoRR abs/1910.05366 (2019) - [i1]Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang:
Influence-Based Multi-Agent Exploration. CoRR abs/1910.05512 (2019)
Coauthor Index
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