Suzie Kim

Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback

2025 · arXiv (Cornell University)

Conventional reinforcement learning (RL) ap proaches often struggle to learn effective policies under sparse reward conditions, necessitating the manual design of complex, task-specific reward functions. To address this limitation, rein forcement learning from human feedback …