970 Open source projects that are alternatives of or similar to Gym Dart

A universal flight control tuning framework

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Simple 3D interior simulator for RL & robotics research

An OpenAI Gym Env for Panda

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

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

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

ROS 2 enabled Machine Learning algorithms

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

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

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

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Initiative to read research papers

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

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

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

Collection of Deep Reinforcement Learning algorithms

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Jiminy: a fast and portable Python/C++ simulator of poly-articulated systems with OpenAI Gym interface for reinforcement learning

Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

Mastering Atari with Discrete World Models

Self-driving car simulator for the Duckietown universe

Repo for the Deep Reinforcement Learning Nanodegree program

My Exploration on Deep Reinforcement Learning Survey

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

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

Behavior Optimization and Learning for Robots

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

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

A3C LSTM Atari with Pytorch plus A3G design

Safe Bayesian Optimization

Repository to accompany RSS 2018 paper on dexterous hand manipulation

A collection of multi agent environments based on OpenAI gym.

Reinforcement learning algorithms for MuJoCo tasks

An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.

Dream to Control: Learning Behaviors by Latent Imagination

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

ns3-gym - The Playground for Reinforcement Learning in Networking Research

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

A curated list of awesome self-supervised methods

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Scalable, event-driven, deep-learning-friendly backtesting library

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

Python library for Reinforcement Learning.

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

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

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

Guided Policy Search

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Implementations of deep RL papers and random experimentation

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

My Reading Lists of Deep Learning and Natural Language Processing

Gibson Environments: Real-World Perception for Embodied Agents