Gym-ANM is a Python package that facilitates the design of reinforcementlearning environments that model active network management (ANM) tasks inelectricity networks . We hope this package will facilitate collaboration between the power system and RLcommunities in the search for algorithms to control future energy systems . We also provide anoverview of ANM6-Easy, an environment designed to highlight common ANMchallenges. Finally, we discuss the potential impact of Gym-Anm on thescientific community, both in terms of research and education.

Author(s) : Robin Henry, Damien Ernst

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Keywords : anm - gym - package - education - research -

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