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sparse rewards

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  1. Automating Potential-based Reward Shaping with Vision Language Model Guidance

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    Researchers have developed a new method for reinforcement learning agents using vision language models (VLMs). The approach called VLM-guided PBRS learns a potential function from VLM feedback to address the challenge…