Nikolaos Tsiogkas

Scaling Vision-Language Reward Learning for Robot Manipulation in Parallel Simulation

Vision-language models (VLMs) can replace human annotators in preference-based reward learning, but sequential API requests and single-environment data collection make training slow and costly. We present RAPID (Reward learning with Adaptive Parallel Image Diversity), a system that couples GPU-parallel rollout with dat...