107 Open source projects that are alternatives of or similar to DQN

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

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

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Unreal environments for reinforcement learning

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

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

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Reinforcement Learning Algorithms

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

PyTorch Implementation of REINFORCE for both discrete & continuous control

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

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Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

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

Simple A3C implementation with pytorch + multiprocessing

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

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

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

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

👨‍💻 Gym & Club Management System https://gymie.in

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

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

AI research environment for the Atari 2600 games 🤖.

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MuZero

A collection of multi-agent reinforcement learning OpenAI gym environments

Reinforcement Learning Algorithms Based on TensorFlow 2.x

Environment that can be used to evaluate reasoning capabilities of artificial agents

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

Gym Management System provides an easy to use interface for the users and a database for the admin to maintain the records of gym members.

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Workout-Tracking app built in ES6 using react, flux and ImmutableJS

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

A collection of multi agent environments based on OpenAI gym.

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

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