Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15

[@lexfridman]

From philosophy to POMDPs to reinforcement learning & hierarchical planning to the publishing model in academia, I really enjoyed this conversation with Leslie.

[@PhilosopherRex]

Sorry Lex, I admit to having misspelled your name when telling people about your channel -- but I won't do it again ;-) Thanks for your efforts and interviews!

[@saturten]

Leslie is so eloquent, I think this is my favorite interview from the podcast

[@handetoffoli3610]

I was just following Leslie's MIT OCW course and thinking what a great teacher she is. I then find this! So excited to listen now.

[@fengliu975]

Like this lady. A free thinker who doesn't care for competition and care for investing into hard problems

[@anirudhramesh8207]

Thank you so much for this, Lex. Much love...

[@OldGamerNoob]

Being someone whose work environment is not alongside other programmers where I have to either use lay terminology or keep to myself with descriptions of what I do, it's intriguing and almost refreshing to hear conversations on this podcast constantly referring to everyday life in terms of functions, problem spaces, sets, and the like. really enjoying it.

[@index7787]

Right?! It's literally a different language and I perfer it.

[@Lunsterful]

Begins with a GEB mention, eloquently articulates issues I have been trying to categorise for years, is pro open access, isn't getting distracted by ill-formed big ideas... anything this person has ever said or written is now priority reading for me. Genius.

[@CharlesVanNoland]

What a great conversation.

[@contactdi8426]

Thanks for this podcast

[@farhanislam4693]

3rd yr undergrad student. Learning ai on his own. I could understand the problem statements for deep learning and computer vision(couldn't solve them , obviously) , but not so much in reinforcement learning. This really helped. Reinforcement learning isn't just a computation problem. It's a merging of the disciplines mentioned under symbolic systems . One can specialize in one or more of thosw fields, but to make things work, all those perspectives are needed. Thanks for this.

[@cogoid]

Leslie is one those amazing guests who do not proffer opinions on supposedly deep questions, but are very lucid in what they do say. I really liked her!

[@mikejordan2428]

Great conversation!

[@douglasholman6300]

Wow Leslie is smart as heck!

[@yossimolcho841]

Great channel thank you

[@menatoorus5696]

Mind-opening

[@quentinmunch3700]

I think the output we want from a "perception" system is a cost or a credit of the current state of the world. Just like we do in inverse reinforcement learning or target propagation for the credit assignement problem. Awesome video btw !

[@varunsharma8573]

wow!!...very knowledgeable...

[@rickharold69]

Rock out! Nice love it !

[@PeihuiBrandonYeo]

It will take a surprising amount of time to walk through Kuala Lumpur airport

[@kaouterkarboub5405]

You know Listening to her made me think that humans are amazing !! really

[@yichaoliang5500]

@lex can you please add the outline back for videos?

[@aidenstill7179]

How to create your own deep learning library?

[@alonamaloh]

She's great. I hold almost exactly the same opinions, but I am much worse at articulating them.

[@ProfessionalTycoons]

interesting talk

[@ValerianTexeira]

Liked her AI perspective.

[@patrickpei9256]

Who is the author mentioned at 0:45?

[@ggolu2]

en.wikipedia.org/wiki/G%C3%B6del,_Escher,_Bach

[@paulinesz15]

Glad to see a few women in this field. 😍

[@jettrink918]

What did she read that makes her interested in computer science?

[@tylergaye6110]

"paper is not required for prestige, as it turns out." sums up todays colleges/universities.

[@krokodils1977]

It would be great to see Jeff Hawkins on Your podcast.

[@clutchcarabelli8054]

I really like the way she.....Talks?

[@thecactus7950]

She sounds, and kind of looks like Judith Butler :D

[@gbiotaone5814]

Any person who doesn't value competition based on 'personal feelings' loses a lot of credibility. Its better than resenting it for ideological reasons, but its our most general method, and possibly most fundamental method of finding truth. Dismiss it at your peril.

[@YouTube_Staff]

Feels like listening to AMSR

[@oversightentertainment6733]

Here @ 2278; views..... ...... ......

[@spinLOL533]

Third

[@fengliu975]

Anyone find the intro just a bit creepy?