MorvanZhou/Reinforcement-learning-with-tensorflow
A collection of reinforcement learning tutorials covering basic to advanced RL algorithms with TensorFlow implementations.
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This repository contains tutorials on reinforcement learning algorithms ranging from basic Q-learning to advanced methods like PPO, A3C, and DDPG. All implementations are built with TensorFlow and include examples using OpenAI Gym environments. The tutorials progress from simple maze problems to complex continuous control tasks.