This academic article introduces DeLF (Designing Learning Environments with Foundation Models), a method for designing components of the Reinforcement Learning (RL) environment for a specific, user-intended application. The authors focus on designing a good representation for observation and action space. They test DeLF on four different learning environments, demonstrating that it can produce executable environment codes for corresponding RL problems. The article emphasizes the challenges in applying RL in practical scenarios and the need for better tools to facilitate the work prior to training.
Publication date: 18 Jan 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2401.08936
