1268 Open source projects that are alternatives of or similar to Mjrl

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

Simple 3D interior simulator for RL & robotics research

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

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

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

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

My Exploration on Deep Reinforcement Learning Survey

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Guided Policy Search

Scenarios, tutorials and demos for Autonomous Driving

Open source robotics simulator.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Python library for Reinforcement Learning.

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

Gibson Environments: Real-World Perception for Embodied Agents

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.

An OpenAI Gym Env for Panda

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

中国大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

Behavior Optimization and Learning for Robots

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

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

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

Blazing fast hexapod robot simulator for the web.

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

A curated list of awesome self-supervised methods

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

A Configurable Recommender Systems Simulation Platform

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

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Open source robotics simulator. Through Ignition Gazebo users have access to high fidelity physics, rendering, and sensor models. Additionally, users and developers have multiple points of entry to simulation including a graphical user interface, plugins, and asynchronous message passing and services. Ignition Gazebo is derived from Gazebo, and represents over 16 years of development and experience in robotics and simulation. This library is part of the Ignition Robotics project.

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

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

My Reading Lists of Deep Learning and Natural Language Processing

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

Simulation of spiking neural networks (SNNs) using PyTorch.

Dynamic Animation and Robotics Toolkit

OpenAI Gym environments using DART

A gym environment for Stuart Armstrong's model of a treacherous turn.

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

UWSim-NET, the Underwater Simulator

😎 A curated list of robotics libraries and software

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Maze Applied Reinforcement Learning Framework

Initiative to read research papers

Safe Bayesian Optimization

Open source simulator for maritime robotics researchers

A curated list of software emulators and simulators of PCs, home computers, mainframes, consoles, robots and much more...

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

Webots Robot Simulator

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

PyTorch implementation of Trust Region Policy Optimization

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

Simulation Description Format (SDFormat) parser and description files.

Multi-Agent Robotics Simulator

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