Library for multi-objective reinforcement learning environments


MO-Gym is an extensible library containing a diverse set of multi-objective reinforcement learning environments. It introduces a standardized API that facilitates conducting experiments and performance analyses of algorithms designed to interact with multi-objective Markov decision processes. Importantly, it extends the widely-used OpenAI Gym API, allowing the reuse of algorithms and features that are well-established in the reinforcement learning community.

More Information: