1717 Open source projects that are alternatives of or similar to Rex Gym

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

Mastering Atari with Discrete World Models

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

YARP - Yet Another Robot Platform

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

Dream to Control: Learning Behaviors by Latent Imagination

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.

OpenAI Gym environments using DART

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

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

A universal flight control tuning framework

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

Self-driving car simulator for the Duckietown universe

Simple 3D interior simulator for RL & robotics research

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

An OpenAI Gym Env for Panda

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

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

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

PySwip is a Python - SWI-Prolog bridge enabling to query SWI-Prolog in your Python programs. It features an (incomplete) SWI-Prolog foreign language interface, a utility class that makes it easy querying with Prolog and also a Pythonic interface.

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

Collection of Deep Reinforcement Learning algorithms

Grokking Deep Reinforcement Learning

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

An Architecture for the Versatile Control of Legged Robots

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

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

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

A curated list of awesome self-supervised methods

Multiple implementations for abstractive text summurization , using google colab

和（he for objective-c） —— “信息熵减机系统”

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

This package provides a CLF-based reactive planning system, described in paper: Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain. The reactive planning system consists of a 5-Hz planning thread to guide a robot to a distant goal and a 300-Hz Control-Lyapunov-Function-based (CLF-based) reactive thread to co…

MATLAB sample codes for mobile robot navigation

Blazing fast hexapod robot simulator for the web.

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

⏰ AI conference deadline countdowns

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.

Gibson Environments: Real-World Perception for Embodied Agents

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

Award-Winning FRC Library by StuyPulse Team 694

Poppy Humanoid is an open-source and 3D printed humanoid robot. Optimized for research and education purposes, its modularity allows for a wide range of applications and experimentations.

My Exploration on Deep Reinforcement Learning Survey

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

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

Deep Reinforcement Learning Framework + Algorithms

Python library for Reinforcement Learning.

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

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

A Configurable Recommender Systems Simulation Platform

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

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

Arnold - DOOM Agent

Anki Vector Python SDK

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

A hexapod robot simulator built from first principles

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.