Shypd.aiThe largest open index of AI toolsrlkit is an open-source reinforcement learning framework that provides a collection of algorithms implemented in PyTorch. It supports research and development of AI agents with various RL methods.
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rlkit is a comprehensive open-source reinforcement learning framework built on PyTorch, offering a diverse collection of algorithms for developing and researching AI agents. It includes implementations of popular algorithms such as Soft Actor Critic (SAC), Twin Delayed Deep Deterministic Policy Gradient (TD3), Hindsight Experience Replay (HER), and Implicit Q-Learning (IQL). The framework also supports advanced techniques like Skew-Fit for goal-directed exploration and Reinforcement Learning with Imagined Goals (RIG). Designed for modularity and readability, rlkit facilitates both batch-style and online training, making it suitable for academic research and practical application in reinforcement learning.
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