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

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

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

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

A collection of pre-trained RL agents using Stable Baselines3

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

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.

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

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