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Implementation of Deep Q-Learning (DQN) for System Optimization

Added by Egor Popenov about 5 hours ago

I am opening this thread to discuss the integration of Reinforcement Learning (RL) into our Management Information System project.
For our initial implementation, I suggest we focus on the following stack:
Framework: Stable Baselines3 (based on PyTorch).
Environment: Gymnasium for defining our custom state space and rewards.
Algorithm: PPO (Proximal Policy Optimization) or DQN for the baseline agent.