From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models

Christian Gumbsch, Leonardo Barcellona, Lennard Schünemann +7

Reinforcement learning relies on accurate reward functions, which are often hand-crafted or even unavailable in real-world applications, such as robotics. Recent work has explored…