Design the RL Agent and Market Simulator

planningChallenge

Prompt Content

Outline the observation space, action space, and reward function for your Reinforcement Learning agent(s) considering both ancillary service revenue and EV charging demand. Design the simulation environment for the ancillary services market, including how it processes bids, manages grid requests, and applies penalties. Detail how EV arrivals and charging processes will be simulated.

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