6324 Open source projects that are alternatives of or similar to Deep Qlearning Agent For Traffic Signal Control

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

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Play Google Chrome's T-rex game with TensorFlow

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

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

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

RAD: Reinforcement Learning with Augmented Data

DrQ: Data regularized Q

Transportation Networks for Research

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

Lab Materials for MIT 6.S191: Introduction to Deep Learning

A course in reinforcement learning in the wild

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

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

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

Some notebooks

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

playing idealized trading games with deep reinforcement learning

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.

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

PyTorch implementation of Soft Actor-Critic (SAC)

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

Master Thesis: Limit order placement with Reinforcement Learning

A deep reinforcement learning bot that plays tetris

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

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

Reinforcement Learning Demos

Stock Trading Bot using Deep Q-Learning

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

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Grokking Deep Reinforcement Learning

Reinforcement Learning for Portfolio Management

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

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

DEEp Reinforcement learning framework

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

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)

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

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

A collection of materials to help you learn about deep learning

Repo for the Deep Reinforcement Learning Nanodegree program

CSCI 599 deep learning and its applications final project

Teach a Quadcopter How to Fly!

experiments and snippets used on the blog

A small package to create visualizations of PyTorch execution graphs

The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283

SF Brigade's Data Science Working Group.

A collection of tools for mining government data