Awesome RL: Papers, Books, Codes, Benchmarks

🤖 Implements of Reinforcement Learning algorithms.

My notes on reinforcement learning papers

深度学习论文阅读路线图

Notes and comments about Deep Reinforcement Learning papers

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

With DocPHT you can take notes and quickly document anything and without the use of any database.

Powerful note-taking app with nested documents, full-text search, rich-text editor, code snippet editor and more

Awesome-pytorch-list 翻译工作进行中......

Extension of the jQuery imgViewer plugin to add markers and notes to the image

A tiny CLI for HedgeDoc

Notes from the book Kubernetes Up and Running

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

Deep reinforcement learning for recommendation system

我大学两年来的笔记，希望对大家有些些帮助

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019