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Notes on potential-based reward shaping

5 notes

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

    Source note · Jun 25, 2026 · policy learning, sample efficiency, vision language model

    Researchers introduce a new framework called VLM-PBRS for automating potential-based reward shaping in reinforcement learning agents. The framework learns the potential function directly from vision language model…

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

    Source note · Jun 25, 2026 · reinforcement learning, automation, vision-language models

    Researchers introduce a new method called VLM-PBRS for automating potential-based reward shaping using vision language model (VLM) feedback. The aim is to improve reinforcement learning agents' ability to learn from…

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

    Source note · Jun 25, 2026 · reinforcement learning, robotics, vision-language models

    Researchers have developed a new method called VLM-PBRS for automating potential-based reward shaping in reinforcement learning agents. This method uses vision language models (VLMs) to learn the potential function…

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

    Source note · Jun 25, 2026 · reinforcement learning, vision language model, potential-based reward shaping

    In this research, the authors present a new framework called VLM-guided PBRS, which learns potential functions for reward shaping directly from vision language model (VLM) feedback. The goal is to address the…

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

    Source note · Jun 25, 2026 · reinforcement learning, robotics, vision-language models

    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…

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