Showing 9 of 9 projects
A Python toolkit for developing and comparing reinforcement learning algorithms through a standard API and environment set.
A reliable PyTorch implementation of reinforcement learning algorithms for research and industry.
A curated list of reinforcement learning resources including theory, applications, code libraries, tutorials, and platforms.
A curated list of resources dedicated to reinforcement learning, including theory, applications, code, tutorials, and platforms.
A Python library implementing state-of-the-art deep reinforcement learning algorithms with seamless Keras integration.
A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.
A toolkit and library for developing, evaluating, and reproducing reinforcement learning algorithms.
A modular deep reinforcement learning framework in PyTorch for research and application, featuring ready-to-use algorithms and reproducible experiments.
A PyTorch reinforcement learning library implementing DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, and IMPALA.
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