PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Colab notebooks part of the documentation of Stable Baselines reinforcement learning library

An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.

A collection of pre-trained RL agents using Stable Baselines3

Stable Baselines官方文档中文版

NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains

Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.

A well-documented A2C written in PyTorch

MovieLens recommendation system using reinforcement learning (GYM + PPO)

RL Reach is a platform for running reproducible reinforcement learning experiments.

Mirror Descent Policy Optimization

A graphical interface for reinforcement learning and gym-based environments.

A trading bitcoin agent was created with deep reinforcement learning implementations.

Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.