The TycoonLE environment has been developed to enhance reinforcement learning applications, particularly in long-horizon planning scenarios.
Utilizing Jax, the environment aims to provide efficient computational capabilities, making it a valuable tool for developers in the field.
This open-source project is accessible on GitHub, inviting contributions and collaboration from the broader tech community.