In this work, we introduce Gym-ANM, a framework for designing reinforcement learning (RL) environments that model ANM tasks in electricity distribution networks. These environments provide new playgrounds for RL
2.1. Design a Gym-ANM environment The internal structure of a Gym-ANM environment is shown in Fig. 1. At each timestep, the agent passes an action at to the environment. The latter generates a set of stochastic variables by calling the next_vars() function, which are then used along wi...
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