Train, Evaluate, and Interpret with DeepEval

testingChallenge

Prompt Content

Train your RL agent(s) within the simulated environment. Once trained, use DeepEval to rigorously evaluate the agent's performance. Focus on metrics like net revenue, EV charging satisfaction rate, and market compliance. Utilize DeepEval's interpretability features to understand why the agent makes certain bidding decisions, especially in complex scenarios. Run the `SimulateBiddingAgent` evaluation task for a 7-day period to assess the agent's long-term effectiveness.

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