431 Open source projects that are alternatives of or similar to Deep-Q-Networks

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

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

Python library for Reinforcement Learning.

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

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

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

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

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)

Deep Reinforcement Learning for Robotic Grasping from Octrees

Combining deep learning and reinforcement learning.

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

Deep Developmental Reinforcement Learning

Deep Reinforcement Learning Algorithms Implementation in PyTorch

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

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

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

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

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

Reinforcement Learning for Super Mario Bros using A3C on GPU

A Universal Deep Reinforcement Learning Framework

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Repo for the Deep Reinforcement Learning Nanodegree program

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

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

Autonomous Drifting using Reinforcement Learning

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

A3C LSTM Atari with Pytorch plus A3G design

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

Live Trading. Please star.

Cloud-native Financial Reinforcement Learning

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

Evaluating pre-trained navigation agents under corruptions

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

No description or website provided.

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Reinforcement Learning Demos

Collection of OpenAI parametrized action-space environments.

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

NEAT for Reinforcement Learning on the OpenAI Gym

With underflow, create trafic light clusters that interact together to regulate circulation

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

source code for 'Improving automatic source code summarization via deep reinforcement learning'

very simple LZ77-based compression

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.