Shypd.aiThe largest open index of AI toolsDeep-reinforcement-learning-with-pytorch is an open-source repository providing PyTorch implementations of various deep reinforcement learning algorithms. It aims to provide clear code for learning and experimenting with deep reinforcement learning.
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Deep-reinforcement-learning-with-pytorch is an open-source GitHub repository that offers PyTorch implementations of classic and state-of-the-art deep reinforcement learning algorithms. The project includes implementations of popular methods such as DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, and TD3. Its primary goal is to provide clear and accessible code, making it easier for individuals to learn and experiment with deep reinforcement learning algorithms. The repository is actively maintained, with plans to add more advanced algorithms and update existing code. It also provides installation instructions and examples for testing the implementations.
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