2026
Fine-tuning Behavioral Cloning Policies with Preference‑Based Reinforcement Learning
ICLR 2026poster
Deploying reinforcement learning (RL) in robotics, industry, and health care is blocked by two obstacles: the difficulty of specifying accurate rewards and the risk of unsafe, data-hungry exploration. We address this by proposing a two-stage framework that first learns a safe initial policy from a r…