AI-Optimizer is a comprehensive deep reinforcement learning framework implementing diverse RL algorithms spanning model-free (PPO, DQN), model-based, and multi-agent approaches. It supports transfer learning, offline RL, and self-supervised representation learning. The toolkit includes a distributed training framework for scalable policy training across multiple agents and environments.