Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience

Raymond Yu, William Huey, Mustafa Mukadam +2

Robots trained on real world data tend to be imprecise, slow, and brittle to perturbations. Improving these policies with reinforcement learning (RL) is an appealing alternative, b…