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.

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

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.

A highly-customizable OpenAI gym environment to train & evaluate RL agents trading stocks and crypto.

Distributed Online Service Coordination Using Deep Reinforcement Learning

Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.

Training in bursts for defending against adversarial policies