A toolkit for reproducible reinforcement learning research.
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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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Reinforcement Learning in PyTorch
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PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
