1 學習資料
增強學習課程 David Silver (有視訊和ppt):
http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Teaching.html
最好的增強學習教材:
Reinforcement Learning: An Introduction
https://webdocs.cs.ualberta.ca/~sutton/book/the-book.html
深度學習課程 (有視訊有ppt有作業)
https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
深度增強學習的講座都是David Silver的:
ICLR 2015 part 1 https://www.youtube.com/watch?v=EX1CIVVkWdE
ICLR 2015 part 2 https://www.youtube.com/watch?v=zXa6UFLQCtg
UAI 2015 https://www.youtube.com/watch?v=qLaDWKd61Ig
RLDM 2015 http://videolectures.net/rldm2015_silver_reinforcement_learning/
其他課程:
增強學習
Michael Littman:
https://www.udacity.com/course/reinforcement-learning–ud600
AI(包含增強學習,使用Pacman實驗)
Pieter Abbeel:
https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x-0#.VKuKQmTF_og
Deep reinforcement Learning:
Pieter Abbeel
http://rll.berkeley.edu/deeprlcourse/
進階機器人技術(Advanced Robotics):
Pieter Abbeel:
http://www.cs.berkeley.edu/~pabbeel/cs287-fa15/
深度學習相關課程:
用于視覺識别的卷積神經網絡(Convolutional Neural Network for visual network)
http://cs231n.github.io/
機器學習 Machine Learning
Andrew Ng
https://www.coursera.org/learn/machine-learning/
http://cs229.stanford.edu/
神經網絡(Neural Network for Machine Learning)(2012年的)
Hinton:
https://www.coursera.org/course/neuralnets
最新機器人專題課程Penn(2016年開課):
https://www.coursera.org/specializations/robotics
2 論文資料
https://github.com/junhyukoh/deep-reinforcement-learning-papers
https://github.com/muupan/deep-reinforcement-learning-papers
這兩個人收集的基本涵蓋了目前deep reinforcement learning 的論文資料。目前确實不多。
3 大牛情況:
DeepMind:
http://www.deepmind.com/publications.html
Pieter Abbeel 團隊:
http://www.eecs.berkeley.edu/~pabbeel/
Satinder Singh:
http://web.eecs.umich.edu/~baveja/
CMU 進展:
http://www.cs.cmu.edu/~lerrelp/
Prefered Networks: (日本創業公司,很強,某有代碼)
4 會議情況
Deep Reinforcement Learning Workshop NIPS 2015
http://rll.berkeley.edu/deeprlworkshop/