MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments
We introduce MO-Gym, 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. MO-Gym is available at: https://github.com/LucasAlegre/mo-gym.
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MO-Gymnasium
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