MO-Gymnasium
Introduced by Alegre et al. in MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments
MO-Gymnasium is an open source Python library for developing and comparing multi-objective reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. Essentially, the environments follow the standard Gymnasium API, but return vectorized rewards as numpy arrays.
Papers
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