1148 Open source projects that are alternatives of or similar to Gym Duckietown

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

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

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Line follower robot simulator environment for Open AI Gym.

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

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

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

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Solving OpenAI Gym problems.

Blazing fast hexapod robot simulator for the web.

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

API to run VirtualHome, a Multi-Agent Household Simulator

Learning human driver models from NGSIM data with imitation learning.

Repository to accompany RSS 2018 paper on dexterous hand manipulation

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

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

Tensorflow implementation of generative adversarial imitation learning

Implementations of deep RL papers and random experimentation

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.

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

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

A hexapod robot simulator built from first principles

OpenAI Gym wrapper for the DeepMind Control Suite

A power network simulator with a Reinforcement Learning-focused usage.

Simple 3D interior simulator for RL & robotics research

Webots Robot Simulator

SenseAct: A computational framework for developing real-world robot learning tasks

Webots projects (PROTO files, controllers, simulation worlds, etc.) contributed by the community.

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Minimalistic gridworld package for OpenAI Gym

Master Thesis: Limit order placement with Reinforcement Learning

OpenAI's cartpole env solver.

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

A collection of multi agent environments based on OpenAI gym.

TensorFlow2 Reinforcement Learning

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

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

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

A Micromouse simulator: write and test maze-solving code without a physical robot

Using RGB Image as Visual Input for Mapless Robot Navigation

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

A universal flight control tuning framework

The RoboCupJunior Soccer Simulator, based on Webots

Awesome Webots

My small SLAM simulator to study "SLAM for dummies"

Collection of Deep Reinforcement Learning algorithms

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

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

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