2021 Open source projects that are alternatives of or similar to Gibsonenv

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

Open-source simulator for autonomous driving research.

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

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Open-source reinforcement learning environment for autonomous racing.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Webots Robot Simulator

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

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

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

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Guided Policy Search

Reinforcement learning environments with musculoskeletal models

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

Teach a Quadcopter How to Fly!

Open source simulator for maritime robotics researchers

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

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

ROS 2 enabled Machine Learning algorithms

Mastering Atari with Discrete World Models

An in-depth step-by-step tutorial for implementing sensor fusion with robot_localization! 🛰

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

A hexapod robot simulator built from first principles

Simple 3D interior simulator for RL & robotics research

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

TensorFlow2 Reinforcement Learning

Detect 6-DOF grasp poses in point clouds

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

Blazing fast hexapod robot simulator for the web.

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

YARP - Yet Another Robot Platform

An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)

Self-driving car simulator for the Duckietown universe

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Autonomous ground robots (2WD, 4WD, Ackermann Steering, Mecanum Drive)

Code repository for the Animal AI Olympics competition

Grokking Deep Reinforcement Learning

A curated list of awesome self-supervised methods

Repo for the Deep Reinforcement Learning Nanodegree program

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

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

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

My Exploration on Deep Reinforcement Learning Survey

A PyTorch library for building deep reinforcement learning agents.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

Python library for Reinforcement Learning.

𓃡 Quadruped Robot based on MIT Cheetah I

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

Software for the AutoRally platform