For each type of RL-based algorithms, it is necessary to define an appropriate environment till agents can interact in it and learn based on their states and actions. In python programming, how is this environment defined for energy market (P2P trading)?
If you are seeking guidance on implementation, I recommend exploring OpenAI Gym as it provides a valuable framework for developing and testing reinforcement learning algorithms. However, if your intention is to address a specific problem or model within a particular research area, it is essential to consult recent works and literature pertaining to that domain.
All in all, to receive more accurate and targeted assistance, it is important to provide specific details and clarify your question. Environments in the context of reinforcement learning are not a generic concept that can be addressed with a simple method call. Therefore, it is crucial to provide the necessary context and specifications to receive relevant and appropriate guidance.
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