Top 124 openai-gym open source projects

A collection of multi agent environments based on OpenAI gym.

A continuous action space version of A3C LSTM in pytorch plus A3G design

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

A universal flight control tuning framework

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Implementations of deep RL papers and random experimentation

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

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

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

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

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

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

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

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

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

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

Master Thesis: Limit order placement with Reinforcement Learning

OpenAI's cartpole env solver.

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

Solving OpenAI Gym problems.

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

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

A Python3 NES emulator and OpenAI Gym interface

OpenAI Gym wrapper for the DeepMind Control Suite

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

A bare-bones Python library for quality diversity optimization.

Experimental (stable, go here: https://github.com/benelot/pybullet-gym) repository of OpenAI Gym environments implemented with Bullet Physics using pybullet.

Minimalistic gridworld package for OpenAI Gym

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

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

Gridworld environments for OpenAI gym.

Simple grid-world environment compatible with OpenAI-gym

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

This is the implementation of paper Model Free Episodic Control

An OpenAI Gym Env for Panda

OpenAI Gym environments using DART

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

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

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

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

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

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

BabyAI platform. A testbed for training agents to understand and execute language commands.

A3C LSTM Atari with Pytorch plus A3G design

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

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Python library for Reinforcement Learning.

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

TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例

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

Repo for the Deep Reinforcement Learning Nanodegree program

Self-driving car simulator for the Duckietown universe

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.