强化学习清单 | Zaber BLOG

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Aug 18, 2022

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学习强化学习也是一种强化学习

Tutorial

教材：Reinforcement Learning: An Introduction (Sutton 第二版

下载：http://incompleteideas.net/book/the-book-2nd.html

对应code：http://incompleteideas.net/book/code/code2nd.html

Reinforcement Learning: An Introduction 目录

Chapter 1 The Reinforcement Learning Problem Chapter 2 Multi-arm Bandits Chapter 3 Finite Markov Decision Processes Chapter 4 Dynamic Programming Chapter 5 Monte Carlo Methods Chapter 6 Temporal-Dif...

https://zhuanlan.zhihu.com/p/61048287

第一版只提供了网页版

Book

http://www.incompleteideas.net/book/first/ebook/the-book.html

李宏毅老师教程:

视频：https://www.bilibili.com/video/BV1MW411w79n

wang shusen老师课件：

课件：https://github.com/wangshusen/DRL

视频：https://www.bilibili.com/video/BV1rv41167yx?p=1

RL全资料汇总

GitHub - NeuronDance/DeepRL: Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

本仓库由"深度强化学习实验室(DeepRL-Lab)"创建，希望能够为所有DRL研究者，学习者和爱好者提供一个学习指导。 ...

https://github.com/NeuronDance/DeepRL

Lilian Weng‘ blog:

archives

https://lilianweng.github.io/archives/

overview:

A (Long) Peek into Reinforcement Learning

Updated on 2020-09-03: Updated the algorithm of SARSA and Q-learning so that the difference is more pronounced. [Updated on 2021-09-19: Thanks to 爱吃猫的鱼, we have this post in Chinese]. A couple of exciting news in Artificial Intelligence (AI) has just happened in recent years. AlphaGo defeated the best professional human player in the game of Go.

https://lilianweng.github.io/posts/2018-02-19-rl-overview/

A (Long) Peek into Reinforcement Learning

policy gradient algorithm详解：

Policy Gradient Algorithms

Abstract: In this post, we are going to look deep into policy gradient, why it works, and many new policy gradient algorithms proposed in recent years: vanilla policy gradient, actor-critic, off-policy actor-critic, A3C, A2C, DPG, DDPG, D4PG, MADDPG, TRPO, PPO, ACER, ACTKR, SAC, TD3 & SVPG.

https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html#what-is-policy-gradient

GAN+Robot RL

Deep Robotic Learning

关注deep robotic learning

https://www.zhihu.com/column/deeproboticlearning

Reinforcement Learning Resources (source)

OpenAI Spinning Up

David Silver’s course

Lilian Weng’s blog

Berkeley’s Deep RL Bootcamp

Berkeley’s Deep Reinforcement Learning course

More resources

dalao 笔记

RL Learning Platform

Dalao

Sergey Levine Shauharda Khadka Diego Perez-Liebana Rémi Munos Thore Graepel Kagan Tumer Razvan Pascanu Nicolas Heess Pieter Abbeel Sebastian Risi Kenneth O. Stanley Timothy P. Lillicrap koray kavukcuoglu Jeff Clune Joel Z Leibo John Schulman Karen Simonyan Sebastian Risi Oriol Vinyals Marc Lanctot David Silver

当前sota

Papers with Code - OpenAI Gym

An open-source toolkit from OpenAI that implements several Reinforcement Learning benchmarks including: classic control, Atari, Robotics and MuJoCo tasks. (Description by [Evolutionary learning of interpretable decision trees](https://paperswithcode.com/paper/evolutionary-learning-of-interpretable)) (Image Credit: [OpenAI Gym](https://gym.openai.com/))

https://paperswithcode.com/task/openai-gym

Papers with Code - Atari Games

These leaderboards are used to track progress in Atari Games Trend Dataset Best Model Paper Code Compare Use these libraries to find Atari Games models and implementations

https://paperswithcode.com/task/atari-games

Papers with Code - MuJoCo Games

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https://paperswithcode.com/task/mujoco-games