Subequivariant Graph Reinforcement Learning in 3D Environments - researchr publication related

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Runfa Chen, Jiaqi Han, Fuchun Sun 0001, Wenbing Huang 0001. Subequivariant Graph Reinforcement Learning in 3D Environments. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 4545-4565, PMLR, 2023. [doi]

The following publications are possibly variants of this publication:

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical EnvironmentsRunfa Chen, Ling Wang, Yu Du, Tianrui Xue, Fuchun Sun 0001, Jianwei Zhang 0001, Wenbing Huang 0001. icml 2024: [doi]

Learning Physical Dynamics with Subequivariant Graph Neural NetworksJiaqi Han, Wenbing Huang 0001, Hengbo Ma, Jiachen Li 0001, Josh Tenenbaum 0001, Chuang Gan. nips 2022: [doi]

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