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Tonghan Wang
Tonghan Wang
Econ CS group, Harvard University
Verified email at g.harvard.edu - Homepage
Title
Cited by
Cited by
Year
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
T Wang, H Dong, V Lesser, C Zhang
(ICML 2020) 37th International Conference on Machine Learning, 2020
1852020
RODE: Learning Roles to Decompose Multi-Agent Tasks
T Wang, T Gupta, A Mahajan, B Peng, S Whiteson, C Zhang
(ICLR 2021) 9th International Conference on Learning Representations, 2020
1732020
DOP: Off-policy multi-agent decomposed policy gradients
Y Wang, B Han, T Wang, H Dong, C Zhang
(ICLR 2021) 9th International Conference on Learning Representations, 2020
1602020
Influence-Based Multi-Agent Exploration
T Wang, J Wang, Y Wu, C Zhang
(ICLR 2020 spotlight) 8th International Conference on Learning Representations, 2019
1262019
Learning Nearly Decomposable Value Functions Via Communication Minimization
T Wang, J Wang, C Zheng, C Zhang
(ICLR 2020) 8th International Conference on Learning Representations, 2019
1192019
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
C Li, T Wang, C Wu, J Yang, Q Zhao, C Zhang
(NeurIPS 2021) 35th Annual Conference on Neural Information Processing Systems, 2021
1122021
Context-Aware Sparse Deep Coordination Graphs
T Wang, L Zeng, W Dong, Q Yang, Y Yu, C Zhang
(ICLR 2022 spotlight) 10th International Conference on Learning Representations, 2021
222021
Incorporating Pragmatic Reasoning Communication into Emergent Language
Y Kang, T Wang, G de Melo
(NeurIPS 2020 spotlight) 34th Annual Conference on Neural Information …, 2020
172020
Convergence of multi-agent learning with a finite step size in general-sum games
X Song, T Wang, C Zhang
(AAMAS 2019) International Conference on Autonomous Agents and MultiAgent …, 2019
102019
Self-Organized Polynomial-Time Coordination Graphs
Q Yang, W Dong, Z Ren, J Wang, T Wang, C Zhang
(ICML 2022) 39th International Conference on Machine Learning, 24963-24979, 2022
82022
Non-Linear Coordination Graphs
Y Kang, T Wang, X Wu, Q Yang, C Zhang
(NeurIPS 2022 Spotlight) 36th Conference on Neural Information Processing …, 2022
52022
Low-Rank Modular Reinforcement Learning via Muscle Synergy
H Dong, T Wang, J Liu, C Zhang
(NeurIPS 2022) 36th Conference on Neural Information Processing Systems, 2022
52022
Birds of a feather flock together: A close look at cooperation emergence via multi-agent rl
H Dong, T Wang, J Liu, C Han, C Zhang
arXiv preprint arXiv:2104.11455, 2021
52021
Containerized distributed value-based multi-agent reinforcement learning
S Wu, T Wang, C Li, Y Hu, C Zhang
arXiv preprint arXiv:2110.08169, 2021
42021
Deep Contract Design via Discontinuous Networks
T Wang, P Duetting, D Ivanov, I Talgam-Cohen, DC Parkes
(NeurIPS 2023) 37th Conference on Neural Information Processing Systems, 2023
3*2023
Multi-agent policy transfer via task relationship modeling
R Qin, F Chen, T Wang, L Yuan, X Wu, Z Zhang, C Zhang, Y Yu
(NeurIPS 2022 Workshop) Deep Reinforcement Learning Workshop NeurIPS 2022, 2022
32022
Symmetry-Aware Robot Design with Structured Subgroups
H Dong, J Zhang, T Wang, C Zhang
(ICML 2023) 40th International Conference on Machine Learning, 2023
12023
Model and Method: Training-Time Attack for Cooperative Multi-Agent Reinforcement Learning
S Wu, T Wang, X Wu, J Zhang, Y Hu, C Fan, C Zhang
(NeurIPS 2022 Workshop) Deep Reinforcement Learning Workshop NeurIPS 2022, 2022
12022
Social Environment Design
E Zhang, S Zhao, T Wang, S Hossain, H Gasztowtt, S Zheng, DC Parkes, ...
arXiv preprint arXiv:2402.14090, 2024
2024
Multi-Sender Persuasion--A Computational Perspective
S Hossain, T Wang, T Lin, Y Chen, DC Parkes, H Xu
arXiv preprint arXiv:2402.04971, 2024
2024
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