p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
A collection of deep reinforcement learning algorithm implementations in PyTorch.
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This repository provides PyTorch implementations of prominent deep reinforcement learning algorithms including DQN variants, policy gradient methods (REINFORCE, DDPG, TD3, SAC), and A3C. It includes both on-policy and off-policy algorithms, discrete and continuous action space variants, and techniques like prioritized experience replay.