An ergonomic reinforcement learning library for building, composing, and training policy optimization models over generic state and action spaces. Built in Rust, with strong support for aika simulation environments.
Contributors are welcome and greatly appreciated! Please feel free to submit a Pull Request or claim an issue youd like to work on. For major changes, please open an issue first to discuss what you would like to change. If you would like to work more closely with Mesocarp on other projects as well, please email me at sushi@fibered.cat, would love to chat!
This project is licensed under the LGPL-2.1 copyleft license - see the LICENSE file for details.