90 Open source projects that are alternatives of or similar to deep-Q-networks

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

A life simulation for exploring social dynamics

A framework for multi-agent reinforcement learning.

An environment to high-frequency trading agents under reinforcement learning

Train a tic-tac-toe agent using reinforcement learning.

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

Semestral project for the subject Methods of computational inteligence @ fit.cvut.cz

A deep reinforcement learning bot that plays tetris

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

Reinforcement Learning in Vrep

Free Resources For Data Science created by Shubham Kumar

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

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

arxiv.org/abs/1803.07482

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

A Reinforcement Learning Library for C++11/14

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

tensorflow deep RL for driving a rover around

Some notebooks

Pytorch implementation of distributed deep reinforcement learning

🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)

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

"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

Reinforcement Learning Demos

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

playing idealized trading games with deep reinforcement learning

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

A gym environment for Stuart Armstrong's model of a treacherous turn.

Deep-Q-Network reinforcement learning algorithm applied to a simple 2d-car-racing environment

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

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

Master Thesis: Limit order placement with Reinforcement Learning

Reinforcement Learning at UCLA IPAM RIPS 2018

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

PyTorch implementation of the implicit Q-learning algorithm (IQL)

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

High frequency AI based algorithmic trading module.

Implementation of q-learning using TensorFlow

Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

Reinforcement Learning program that looks to be able to quickly learn to solve a Rubik's Cube

Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm

An RL implementation in Keras

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

No description or website provided.

Demo project using tabular Q-learning algorithm

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

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