Sample Complexity of Equivariant Reinforcement Learning
Reinforcement learning (RL) is a powerful framework for robotic control, yet its practical application is often hindered by high sample complexity. This is particularly restrictive in physical domains where interaction data is costly. While the world often exhibits geometric and physical symmetries, standard RL algorit...
Rayan Mazouz, Hai-Bo Zhao, Christopher J. Hillar et al.
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