Library for multi-objective reinforcement learning environments

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Description:

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.

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