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I came across this a few days ago: For Reinforcement Learning specifically, the standard text is Reinforcement Learning: An Introduction[1]. Dave's UCL Course o

I came across this a few days ago: For Reinforcement Learning specifically, the standard text is Reinforcement Learning: An Introduction[1]. Dave's UCL Course on RL[2] is great too (playlist of all lectures)[3]. Source: Julian Schrittwieser works on Deepmind at Google http://www.furidamu.org/ http://www.furidamu.org/ [1]http://incompleteideas.net/book/the-book-2nd.html http://incompleteideas.net/book/the-book-2nd.html [2]http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html [3]https://www.youtube.com/watch?v=2pWv7GOvuf0&list=PL7-jPKtc4r78-wCZcQn5IqyuWhBZ8fOxT https://www.youtube.com/watch?v=2pWv7GOvuf0&list=PL7-jPKtc4r...

kejaed 8y ago
Thanks for this list. I’d like to get up to speed on RL and see how we can apply it for path planning and control of our gliding parachute UAVs.
- jcims 8y ago
  Ooh! I want one of those for high altitude balloon payload recovery. Got any small ones or hobby grade projects doing this that you’re aware of?
  - kejaed 8y ago
    No hobby ones I know of, although I haven't looked into the hobby space too much. All I can say about smaller systems is give our BD guys a call... =D
mark_l_watson 8y ago
thanks!!
MasterScrat 8y ago
Beyond those, my favorite resources are: - "An Introduction to Deep Reinforcement Learning" by Vincent François-Lavet et al (https://arxiv.org/pdf/1811.12560.pdf https://arxiv.org/pdf/1811.12560.pdf) - "A (Long) Peek into Reinforcement Learning" by Lilian Weng (https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-into-reinforcement-learning.html https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-...) - "Deep Reinforcement Learning: Pong from Pixels" from Andrej Karpathy (https://karpathy.github.io/2016/05/31/rl/ https://karpathy.github.io/2016/05/31/rl/) Those are the basics. Some more resources listed on this post: https://news.ycombinator.com/item?id=18219620 https://news.ycombinator.com/item?id=18219620

kejaed 8y ago

Thanks for this list. I’d like to get up to speed on RL and see how we can apply it for path planning and control of our gliding parachute UAVs.

jcims 8y ago
Ooh! I want one of those for high altitude balloon payload recovery. Got any small ones or hobby grade projects doing this that you’re aware of?
- kejaed 8y ago
  No hobby ones I know of, although I haven't looked into the hobby space too much. All I can say about smaller systems is give our BD guys a call... =D

mark_l_watson 8y ago

thanks!!

MasterScrat 8y ago

Beyond those, my favorite resources are: - "An Introduction to Deep Reinforcement Learning" by Vincent François-Lavet et al (https://arxiv.org/pdf/1811.12560.pdf https://arxiv.org/pdf/1811.12560.pdf) - "A (Long) Peek into Reinforcement Learning" by Lilian Weng (https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-into-reinforcement-learning.html https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-...) - "Deep Reinforcement Learning: Pong from Pixels" from Andrej Karpathy (https://karpathy.github.io/2016/05/31/rl/ https://karpathy.github.io/2016/05/31/rl/) Those are the basics. Some more resources listed on this post: https://news.ycombinator.com/item?id=18219620 https://news.ycombinator.com/item?id=18219620