stable-baselines3

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

收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中

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

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"