2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
ICLR 2024poster
Safe offline reinforcement learning is a promising way to bypass risky online interactions towards safe policy learning. Most existing methods only enforce soft constraints, i.e., constraining safety violations in expectation below thresholds predetermined. This can lead to potentially unsafe outcom…