qiaowenchuan

awesome-rl

Reinforcement learning resources curated

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

data_to_viz

Leading to the dataviz you need

deeprl_network

multi-agent deep reinforcement learning for networked system control.

DRL_Large_Scale_Inventory

gdrl

Grokking Deep Reinforcement Learning

gym

A toolkit for developing and comparing reinforcement learning algorithms.

keras-rl

Deep Reinforcement Learning for Keras.

M5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Multi-Agent-Deep-Reinforcement-Learning-on-Multi-Echelon-Inventory-Management

Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwhip Effect"

or-gym

Environments for OR and RL Research

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

price_simulator

simulation platform for algorithmic pricing

pymarl

Python Multi-Agent Reinforcement Learning framework

Python-100-Days

Python - 100天从新手到大师

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

qiaowenchuan.github.io

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

reinforcement-learning

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

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

RL-Adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rlpricing

Environments and toolkit to evaluate RL algorithms for dynamic pricing

rlpyt

Reinforcement Learning in PyTorch

Safe-Reinforcement-Learning-Baselines

The repository is for safe reinforcement learning baselines.

safe-rl-shielding

spinningup

An educational resource to help anyone learn deep reinforcement learning.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

tensor-house

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

ThinkPython2

LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.