817 Open source projects that are alternatives of or similar to Ma Gym

Explore and find reinforcement learning environments in a list of 150+ open source environments.

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

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

Sokoban environment for OpenAI Gym

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

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

OpenAI Gym wrapper for the DeepMind Control Suite

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

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

PyTorch Implementation of REINFORCE for both discrete & continuous control

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Reinforcement Learning Algorithms

OpenAI Gym environments using DART

A universal flight control tuning framework

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

Minimalistic gridworld package for OpenAI Gym

An OpenAI Gym Env for Panda

A Trading environment base on Gym

An OpenAI-gym-like environment for Little Fighter 2

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Solving OpenAI Gym problems.

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

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

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

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

Master Thesis: Limit order placement with Reinforcement Learning

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

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

A3C LSTM Atari with Pytorch plus A3G design

Gridworld environments for OpenAI gym.

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

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

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

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

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

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

MuZero

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

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

OpenAI's cartpole env solver.

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

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

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

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

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Unreal environments for reinforcement learning

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

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

PyTorch implementation of Soft Actor-Critic (SAC)

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

Implementations of deep RL papers and random experimentation

Python library for Reinforcement Learning.

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

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

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