Shypd.aiThe largest open index of AI toolsPFRL is a PyTorch-based deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python. It provides a model zoo with pretrained models for reproducibility on Atari and Mujoco environments.
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PFRL is a comprehensive deep reinforcement learning library built on PyTorch, designed for researchers and developers working with AI models. It offers implementations of numerous state-of-the-art deep reinforcement learning algorithms, including DQN, Rainbow, DDPG, PPO, SAC, and more. The library supports both discrete and continuous action spaces, recurrent models, and batch training. PFRL also provides a 'model zoo' with pretrained models for various Atari and Mujoco environments, facilitating reproducibility and benchmarking. It is compatible with environments that support the OpenAI Gym interface, making it versatile for a wide range of reinforcement learning tasks.
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