VLM-PBRS trains a potential function from small-VLM preferences to enable PBRS in RL, improving sample efficiency in Meta-World and Franka Kitchen without reward hacking.
Using incomplete and incorrect plans to shape reinforcement learning in long-sequence sparse-reward tasks , journal=
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Automating Potential-based Reward Shaping with Vision Language Model Guidance
VLM-PBRS trains a potential function from small-VLM preferences to enable PBRS in RL, improving sample efficiency in Meta-World and Franka Kitchen without reward hacking.