1459 Open source projects that are alternatives of or similar to Gym Gazebo2

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

DrQ: Data regularized Q

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

ROS 2 enabled Machine Learning algorithms

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

MuZero

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

Gibson Environments: Real-World Perception for Embodied Agents

A Trading environment base on Gym

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

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

AI research environment for the Atari 2600 games 🤖.

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

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

PyTorch implementation of Soft Actor-Critic (SAC)

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

Python library for Reinforcement Learning.

Teach a Quadcopter How to Fly!

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

RAD: Reinforcement Learning with Augmented Data

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

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

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

Guided Policy Search

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

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

A universal flight control tuning framework

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

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

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

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

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

Reinforcement Learning Algorithms

OpenAI Gym wrapper for the DeepMind Control Suite

An OpenAI-gym-like environment for Little Fighter 2

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

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

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

A list of projects that were or will be featured in Weekly Robotics newsletter

Dataflow system for building self-driving car and robotics applications.

Sokoban environment for OpenAI Gym

PyTorch Implementation of REINFORCE for both discrete & continuous control

Unreal environments for reinforcement learning

Set up ROS, OpenCV and other ROSbots modules for your ROBbots robot

Revisiting Rainbow

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

The code base for the RoboNav team's IGVC robot.

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

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

A collection of multi agent environments based on OpenAI gym.

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Run OpenAI Gym on a Server

ROS Packages for Interbotix Arms

Proto-RL: Reinforcement Learning with Prototypical Representations

Easily extendable package for interacting with and defining state machines for autonomous aerial systems

No description or website provided.

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

A public sandbox for Shadow's Smart Grasping System

Autonomous mobile robots (2WD, 4WD, Mecanum Drive)