Roma: Multi-agent reinforcement learning with emergent roles T Wang, H Dong, V Lesser, C Zhang arXiv preprint arXiv:2003.08039, 2020 | 266 | 2020 |
Dop: Off-policy multi-agent decomposed policy gradients Y Wang, B Han, T Wang, H Dong, C Zhang International conference on learning representations, 2020 | 145 | 2020 |
Off-policy multi-agent decomposed policy gradients Y Wang, B Han, T Wang, H Dong, C Zhang arXiv preprint arXiv:2007.12322, 2020 | 67 | 2020 |
Low-rank modular reinforcement learning via muscle synergy H Dong, T Wang, J Liu, C Zhang Advances in Neural Information Processing Systems 35, 19861-19873, 2022 | 14 | 2022 |
Symmetry-aware robot design with structured subgroups H Dong, J Zhang, T Wang, C Zhang International Conference on Machine Learning, 8334-8355, 2023 | 8 | 2023 |
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 | 8 | 2021 |
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design H Dong, J Zhang, C Zhang arXiv preprint arXiv:2311.00462, 2023 | 3 | 2023 |
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow T Wang, H Dong, Y Jiang, DC Parkes, M Tambe arXiv preprint arXiv:2410.13953, 2024 | | 2024 |
ENHANCING DECISION-MAKING OF LARGE LAN-GUAGE MODELS VIA ACTOR-CRITIC H Dong, K Duan, C Zhang | | |