qiaowenchuan Goto Github PK

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

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-recurrent-reinforcement-learning

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

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

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.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

keras-rl

Deep Reinforcement Learning for Keras.

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

pricewars

Price Wars - A Simulation Platform for Dynamic Pricing Competition

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.