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An elegant PyTorch-based deep reinforcement learning library with modular APIs for both research and application development.
A modular deep reinforcement learning framework in PyTorch for research and application, featuring ready-to-use algorithms and reproducible experiments.
JAX (Flax) implementations of reinforcement learning algorithms for continuous action spaces, designed for research.
A PyTorch reinforcement learning library implementing DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, and IMPALA.
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