Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?

Akansha Kalra, Daniel S. Brown

Reinforcement Learning from Human Feedback (RLHF) has emerged as a popular paradigm for capturing human intent to alleviate the challenges of hand-crafting the reward values. Despi…