playing idealized trading games with deep reinforcement learning

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

Master Thesis: Limit order placement with Reinforcement Learning

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

Arnold - DOOM Agent

AI research environment for the Atari 2600 games 🤖.

Some notebooks

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

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

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Cornell Instruction Following Framework

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

ChainerRL is a deep reinforcement learning library built on top of Chainer.

List of summer schools in machine learning + related fields across the globe

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