A toolkit for reproducible reinforcement learning research

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning libr…

Code to go along with the Grokking Deep Reinforcement Learning book

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Tutorials for the GA Tech OMSCS RLDM class.

Course Material for the machine learning in financial context bootcamp

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Python implementation of Reinforcement Learning: An Introduction

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)

Bias_Variance_Tradeoff