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Reinforcement Learning and Optimal Control

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Re: Reinforcement Learning and Optimal Control

#11

Post by incompetent »

awesome. not only is this site for 'tech elite' written by a someone with the programming skills of a child, the mods have recently started leaving alone obvious spam. all content is fine, as ling as you're nice. so the mentality of an insecure high school social reject, who is now a grown angry little adult. hey loser, gurss what. you've shadow banned an IP. A NAT IP. For an internet provider.

About 20 people at work can't post. And that's just one of many buildings using the provider, all behind the same IP. Boy you're smart.

Surprisingly, not being nice, especially to these incel mods, is still very easy from any of the hundreds of free vpns. So what you've done is killed off a slew of your users, while not accomplishing your goal. PERFECT! Could not want more.

The mods have turned this site to shit -a safespace for losers with reddit-level crap discussion. Time to change the mods.

Re: Reinforcement Learning and Optimal Control

#12

Post by lawrenceyan »

abdelm wrote: post #10
lawrenceyan wrote: post #3

If you're looking for a great lecture course, I highly recommend CS 294. It's taught by Sergey Levine, who is in my opinion one of the foundational researchers at the frontier of deep reinforcement learning, and provides a comprehensive overview on the current state of the art: http://rail.eecs.berkeley.edu/deeprlcourse/

Any idea how it compares to the UCL course taught by researchers from DeepMind? http://www.cs.ucl.ac.uk/syllabus/compgi/compgi22_advanced_de...

The Berkeley course is completely open source with all the lectures, homework problem sets, and exams publicly available on the site. Besides getting a grade, everything is available to you.

Unfortunately I'm not sure about how the UCL course compares as it seems like the materials are closed to non-UCL students. If you have access though, I'm sure there's lots to learn by taking the course!

Re: Reinforcement Learning and Optimal Control

#13

Post by dpandya »

Jack000 wrote: post #9
dpandya wrote: post #8

Not meant as a critique to this book, but the fact that RL-based approaches rarely work for optimal control problems (in, for example, robotics) came as a surprise to me, given the hype and focus on RL [1]. It turns out that model-based methods for optimal control (e.g. linear quadratic control) invented quite a long time ago dramatically outperform RL-based approaches in most tasks and require multiple orders of mag…

for linear systems modern control theory is already optimal (?) so given a linear system I'd assume an RL method would just approximate the optimal control method. I think the potential for RL methods is in capturing nonlinearities in actuators like artificial muscle.

I meant applying a linear approximation.

Re: Reinforcement Learning and Optimal Control

#14

Post by lawrenceyan »

najarvg wrote: post #6
lawrenceyan wrote: post #3

If you're looking for a great lecture course, I highly recommend CS 294. It's taught by Sergey Levine, who is in my opinion one of the foundational researchers at the frontier of deep reinforcement learning, and provides a comprehensive overview on the current state of the art: http://rail.eecs.berkeley.edu/deeprlcourse/

I took the time to look through two of the lectures from the slides available. This is so inspirational. Thanks a lot!

A link to all the lecture videos for Fall 2018 is available here if you'd like to listen to the actual recordings:

https://www.youtube.com/watch?v=opaBjK4TfLc&list=PLkFD6_40KJ...

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