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Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Self hosted FLOSS fitness/workout, nutrition and weight tracker
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros