1046 Open source projects that are alternatives of or similar to Stable Baselines3

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

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

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Sokoban environment for OpenAI Gym

Unreal environments for reinforcement learning

Simple 3D interior simulator for RL & robotics research

A curated list of awesome self-supervised methods

A Trading environment base on Gym

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

OpenAI Gym wrapper for the DeepMind Control Suite

An OpenAI-gym-like environment for Little Fighter 2

PyTorch implementation of Soft Actor-Critic (SAC)

DrQ: Data regularized Q

Mastering Atari with Discrete World Models

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

PyTorch Implementation of REINFORCE for both discrete & continuous control

Explore and find reinforcement learning environments in a list of 150+ open source environments.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Gibson Environments: Real-World Perception for Embodied Agents

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

A selection of state-of-the-art research materials on decision making and motion planning.

MuZero

AI research environment for the Atari 2600 games 🤖.

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

Dream to Control: Learning Behaviors by Latent Imagination

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

A collection of multi agent environments based on OpenAI gym.

Structural implementation of RL key algorithms

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

A universal flight control tuning framework

A curated list of awesome links and software libraries that are useful for robots.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Guided Policy Search

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

My Reading Lists of Deep Learning and Natural Language Processing

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

An OpenAI Gym Env for Panda

OpenAI Gym environments using DART

Behavior Optimization and Learning for Robots

Reinforcement Learning Algorithms

Reinforcement learning algorithms for MuJoCo tasks

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

My Exploration on Deep Reinforcement Learning Survey

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

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning