Shypd.aiThe largest open index of AI toolsSLM-Lab is an Open Source & Models tool that provides a modular deep reinforcement learning framework in PyTorch. It serves as a companion library for the book "Foundations of Deep Reinforcement Learning," offering ready-to-use algorithms and easy experiment configuration.
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SLM-Lab is a comprehensive and modular deep reinforcement learning (RL) framework built using PyTorch. It is designed to facilitate RL research and application, serving as the companion library for the book "Foundations of Deep Reinforcement Learning." The framework offers a suite of ready-to-use algorithms such as PPO, SAC, CrossQ, DQN, A2C, and REINFORCE, all validated across more than 70 environments. Users can easily configure experiments using JSON spec files, eliminating the need for code changes. SLM-Lab emphasizes reproducibility by saving each run's specification and git SHA, and provides automatic analysis with training curves, metrics, and TensorBoard logging. It also integrates with dstack for GPU training and HuggingFace for sharing results, supporting various environments including Classic Control, Box2D, MuJoCo, and Atari.
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