potential-based reward shaping
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Automating Potential-based Reward Shaping with Vision Language Model Guidance
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…
Automating Potential-based Reward Shaping with Vision Language Model Guidance
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…
Automating Potential-based Reward Shaping with Vision Language Model Guidance
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…
Automating Potential-based Reward Shaping with Vision Language Model Guidance
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…
Automating Potential-based Reward Shaping with Vision Language Model Guidance
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…
