Publications

Tonghan Wang, Heng Dong (董恒), Yanchen Jiang, David C. Parkes, Milind Tambe (2024). On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow. Submit to AAMAS.

Heng Dong (董恒), Kefei Duan, Chongjie Zhang (2024). Enhancing Decision-Making of Large Language Models via Actor-Critic. Submit to ICLR.

Heng Dong (董恒), Junyu Zhang, Chongjie Zhang (2024). Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. In ICLR.

Heng Dong (董恒), Junyu Zhang, Tonghan Wang, Chongjie Zhang (2023). Symmetry-Aware Robot Design with Structured Subgroups. In ICML.

Heng Dong (董恒), Tonghan Wang, Jiayuan Liu, Chongjie Zhang (2022). Low-Rank Modular Reinforcement Learning via Muscle Synergy. In NeurIPS.

Heng Dong (董恒), Tonghan Wang, Jiayuan Liu, Chi Han, Chongjie Zhang (2021). Birds of a feather flock together: A close look at cooperation emergence via multi-agent rl. In Arxiv.

Yihan Wang, Beining Han, Tonghan Wang, Heng Dong (董恒), Chongjie Zhang (2021). DOP: Off-Policy Multi-Agent Decomposed Policy Gradients. In ICLR.

Tonghan Wang, Heng Dong (董恒), Victor Lesser, Chongjie Zhang (2020). ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. In ICML.