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Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | something more in the publication direction, I would do this other thing, which I thought about | https://karpathy.ai/lexicap/0015-large.html#00:50:10.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | doing the first time, which is to get together some set of people whose opinions I value and | https://karpathy.ai/lexicap/0015-large.html#00:50:14.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | who are pretty articulate. And I guess we would be public, although we could be private. I'm not sure. | https://karpathy.ai/lexicap/0015-large.html#00:50:19.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | And we would review papers. We wouldn't publish them and you wouldn't submit them. We would just | https://karpathy.ai/lexicap/0015-large.html#00:50:25.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | find papers and we would write reviews and we would make those reviews public. And maybe if you, | https://karpathy.ai/lexicap/0015-large.html#00:50:29.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | you know, so we're Leslie's friends who review papers and maybe eventually if, if we, our opinion | https://karpathy.ai/lexicap/0015-large.html#00:50:37.040 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | was sufficiently valued, like the opinion of JMLR is valued, then you'd say on your CV that Leslie's | https://karpathy.ai/lexicap/0015-large.html#00:50:42.880 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | friends gave my paper a five star rating. And that would be just as good as saying, I got it, | https://karpathy.ai/lexicap/0015-large.html#00:50:48.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | so, you know, accepted into this journal. So I think, I think we should have good public commentary | https://karpathy.ai/lexicap/0015-large.html#00:50:53.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | and organize it in some way, but I don't really know how to do it. It's interesting times. | https://karpathy.ai/lexicap/0015-large.html#00:51:01.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | The way you describe it actually is really interesting. I mean, we do it for movies, | https://karpathy.ai/lexicap/0015-large.html#00:51:06.320 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | imdb.com. There's experts, critics come in, they write reviews, but there's also | https://karpathy.ai/lexicap/0015-large.html#00:51:10.000 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | regular non critics, humans write reviews and they're separated. | https://karpathy.ai/lexicap/0015-large.html#00:51:16.000 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | I like open review. The iClear process I think is interesting. | https://karpathy.ai/lexicap/0015-large.html#00:51:19.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | It's a step in the right direction, but it's still not as compelling as reviewing movies or | https://karpathy.ai/lexicap/0015-large.html#00:51:29.280 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | video games. I mean, it sometimes almost, it might be silly, at least from my perspective to say, | https://karpathy.ai/lexicap/0015-large.html#00:51:35.760 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | but it boils down to the user interface, how fun and easy it is to actually perform the reviews, | https://karpathy.ai/lexicap/0015-large.html#00:51:41.600 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | how efficient, how much you as a reviewer get street cred for being a good reviewer. | https://karpathy.ai/lexicap/0015-large.html#00:51:46.720 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Those elements, those human elements come into play. | https://karpathy.ai/lexicap/0015-large.html#00:51:54.400 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | No, it's a big investment to do a good review of a paper and the flood of papers is out of control. | https://karpathy.ai/lexicap/0015-large.html#00:51:57.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Right. So, you know, there aren't 3000 new, I don't know how many new movies are there in a year. | https://karpathy.ai/lexicap/0015-large.html#00:52:04.000 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | I don't know, but that's probably going to be less than how many machine learning papers are | https://karpathy.ai/lexicap/0015-large.html#00:52:08.480 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | in a year now. And I'm worried, you know, I, right. So I'm like an old person. So of course, | https://karpathy.ai/lexicap/0015-large.html#00:52:12.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | I'm going to say, things are moving too fast. I'm a stick in the mud. So I can say that, | https://karpathy.ai/lexicap/0015-large.html#00:52:21.760 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | but my particular flavor of that is I think the horizon for researchers has gotten very short, | https://karpathy.ai/lexicap/0015-large.html#00:52:28.720 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | that students want to publish a lot of papers and there's a huge, there's value. It's exciting. And | https://karpathy.ai/lexicap/0015-large.html#00:52:35.760 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | there's value in that and you get patted on the head for it and so on. But, and some of that is | https://karpathy.ai/lexicap/0015-large.html#00:52:41.760 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | fine, but I'm worried that we're driving out people who would spend two years thinking about | https://karpathy.ai/lexicap/0015-large.html#00:52:49.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | something. Back in my day, when we worked on our thesis, we did not publish papers. You did your | https://karpathy.ai/lexicap/0015-large.html#00:52:59.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | thesis for years. You picked a hard problem and then you worked and chewed on it and did stuff | https://karpathy.ai/lexicap/0015-large.html#00:53:06.080 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | and wasted time and for a long time. And when it was roughly, when it was done, you would write | https://karpathy.ai/lexicap/0015-large.html#00:53:11.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | papers. And so I don't know how to, and I don't think that everybody has to work in that mode, | https://karpathy.ai/lexicap/0015-large.html#00:53:16.320 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | but I think there's some problems that are hard enough that it's important to have a long | https://karpathy.ai/lexicap/0015-large.html#00:53:23.520 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | research horizon. And I'm worried that we don't incentivize that at all at this point. | https://karpathy.ai/lexicap/0015-large.html#00:53:27.760 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | In this current structure. Yeah. So what do you see as, what are your hopes and fears about the | https://karpathy.ai/lexicap/0015-large.html#00:53:33.040 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | future of AI and continuing on this theme? So AI has gone through a few winters, ups and downs. Do | https://karpathy.ai/lexicap/0015-large.html#00:53:41.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | you see another winter of AI coming? Are you more hopeful about making robots work, as you said? | https://karpathy.ai/lexicap/0015-large.html#00:53:50.080 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | I think the cycles are inevitable, but I think each time we get higher, right? I mean, so, you | https://karpathy.ai/lexicap/0015-large.html#00:53:58.720 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | know, it's like climbing some kind of landscape with a noisy optimizer. So it's clear that the, | https://karpathy.ai/lexicap/0015-large.html#00:54:05.680 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | you know, the deep learning stuff has made deep and important improvements. And so the high water | https://karpathy.ai/lexicap/0015-large.html#00:54:15.280 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | mark is now higher. There's no question. But of course, I think people are overselling and | https://karpathy.ai/lexicap/0015-large.html#00:54:22.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | eventually investors, I guess, and other people will look around and say, well, you're not quite | https://karpathy.ai/lexicap/0015-large.html#00:54:29.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | delivering on this grand claim and that wild hypothesis. It's probably, it's going to crash | https://karpathy.ai/lexicap/0015-large.html#00:54:37.040 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | some amount and then it's okay. I mean, but I don't, I can't imagine that there's like | https://karpathy.ai/lexicap/0015-large.html#00:54:43.120 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | some awesome monotonic improvement from here to human level AI. So in, you know, I have to ask | https://karpathy.ai/lexicap/0015-large.html#00:54:49.760 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | this question, I probably anticipate answers, the answers, but do you have a worry short term or | https://karpathy.ai/lexicap/0015-large.html#00:54:58.320 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | long term about the existential threats of AI and maybe short term, less existential, but more | https://karpathy.ai/lexicap/0015-large.html#00:55:05.520 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | robots taking away jobs? | https://karpathy.ai/lexicap/0015-large.html#00:55:15.280 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Well, actually, let me talk a little bit about utility. Actually, I had an interesting | https://karpathy.ai/lexicap/0015-large.html#00:55:17.120 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | conversation with some military ethicists who wanted to talk to me about autonomous weapons. | https://karpathy.ai/lexicap/0015-large.html#00:55:25.520 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | And they're, they were interesting, smart, well educated guys who didn't know too much about AI | https://karpathy.ai/lexicap/0015-large.html#00:55:30.880 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | or machine learning. And the first question they asked me was, has your robot ever done | https://karpathy.ai/lexicap/0015-large.html#00:55:37.440 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | something you didn't expect? And I like burst out laughing because anybody who's ever done | https://karpathy.ai/lexicap/0015-large.html#00:55:41.440 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | something on the robot right knows that they don't do it. And what I realized was that their | https://karpathy.ai/lexicap/0015-large.html#00:55:46.480 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | model of how we program a robot was completely wrong. Their model of how we can program a robot | https://karpathy.ai/lexicap/0015-large.html#00:55:51.680 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | was like Lego mind storms, like, Oh, go forward a meter, turn left, take a picture, do this, do | https://karpathy.ai/lexicap/0015-large.html#00:55:56.960 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | that. And so if you have that model of programming, then it's true. It's kind of weird that your robot | https://karpathy.ai/lexicap/0015-large.html#00:56:03.120 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | would do something that you didn't anticipate. But the fact is, and actually, so now this is my | https://karpathy.ai/lexicap/0015-large.html#00:56:08.800 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | new educational mission. If I have to talk to non experts, I try to teach them the idea that | https://karpathy.ai/lexicap/0015-large.html#00:56:13.760 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | we don't operate, we operate at least one or maybe many levels of abstraction about that. And we say, | https://karpathy.ai/lexicap/0015-large.html#00:56:20.640 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Oh, here's a hypothesis class, maybe it's a space of plans, or maybe it's a space of | https://karpathy.ai/lexicap/0015-large.html#00:56:26.400 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | classifiers or whatever. But there's some set of answers and an objective function. And then we | https://karpathy.ai/lexicap/0015-large.html#00:56:31.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | work on some optimization method that tries to optimize a solution solution in that class. | https://karpathy.ai/lexicap/0015-large.html#00:56:36.400 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | And we don't know what solution is going to come out. Right. So I think it's important to | https://karpathy.ai/lexicap/0015-large.html#00:56:43.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | communicate that. So I mean, of course, probably people who listen to this, they, they know that | https://karpathy.ai/lexicap/0015-large.html#00:56:47.600 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | lesson. But I think it's really critical to communicate that lesson. And then lots of people | https://karpathy.ai/lexicap/0015-large.html#00:56:52.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | are now talking about, you know, the value alignment problem. So you want to be sure as | https://karpathy.ai/lexicap/0015-large.html#00:56:56.320 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | robots or software systems get more competent, that their objectives are aligned with your | https://karpathy.ai/lexicap/0015-large.html#00:57:01.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | objectives, or that our objectives are compatible in some way, or we have a good way of mediating | https://karpathy.ai/lexicap/0015-large.html#00:57:07.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | when they have different objectives. And so I think it is important to start thinking in terms | https://karpathy.ai/lexicap/0015-large.html#00:57:13.760 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | like, you don't have to be freaked out by the robot apocalypse, to accept that it's important | https://karpathy.ai/lexicap/0015-large.html#00:57:19.120 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | to think about objective functions of value alignment. Yes. And that you have to really | https://karpathy.ai/lexicap/0015-large.html#00:57:25.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | everyone who's done optimization knows that you have to be careful what you wish for that, | https://karpathy.ai/lexicap/0015-large.html#00:57:30.080 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | you know, sometimes you get the optimal solution, and you realize, man, that was that objective was | https://karpathy.ai/lexicap/0015-large.html#00:57:34.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | wrong. So pragmatically, in the shortest term, it seems to me that that that those are really | https://karpathy.ai/lexicap/0015-large.html#00:57:38.800 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | interesting and critical questions. And the idea that we're going to go from being people who | https://karpathy.ai/lexicap/0015-large.html#00:57:47.040 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | engineer algorithms to being people who engineer objective functions. I think that's, that's | https://karpathy.ai/lexicap/0015-large.html#00:57:50.960 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | definitely going to happen. And that's going to change our thinking and methodology. And so we're | https://karpathy.ai/lexicap/0015-large.html#00:57:56.480 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | gonna you started at Stanford philosophy, that's where she could be. And I will go back to | https://karpathy.ai/lexicap/0015-large.html#00:58:00.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | philosophy maybe. Well, I mean, they're mixed together, because because, as we also know, | https://karpathy.ai/lexicap/0015-large.html#00:58:05.920 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | as machine learning people, right? When you design, in fact, this is the lecture I gave in | https://karpathy.ai/lexicap/0015-large.html#00:58:11.920 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | class today, when you design an objective function, you have to wear both hats, there's | https://karpathy.ai/lexicap/0015-large.html#00:58:16.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | the hat that says, what do I want? And there's the hat that says, but I know what my optimizer | https://karpathy.ai/lexicap/0015-large.html#00:58:21.600 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | can do to some degree. And I have to take that into account. So it's it's always a trade off, | https://karpathy.ai/lexicap/0015-large.html#00:58:26.080 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | and we have to kind of be mindful of that. The part about taking people's jobs, I understand | https://karpathy.ai/lexicap/0015-large.html#00:58:31.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | that that's important. I don't understand sociology or economics or people very well. So I | https://karpathy.ai/lexicap/0015-large.html#00:58:38.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | don't know how to think about that. So that's Yeah, so there might be a sociological aspect | https://karpathy.ai/lexicap/0015-large.html#00:58:45.440 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | there, the economic aspect that's very difficult to think about. Okay. I mean, I think other people | https://karpathy.ai/lexicap/0015-large.html#00:58:50.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | should be thinking about it. But I'm just that's not my strength. So what do you think is the most | https://karpathy.ai/lexicap/0015-large.html#00:58:54.640 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | exciting area of research in the short term, for the community and for your for yourself? | https://karpathy.ai/lexicap/0015-large.html#00:58:58.480 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Well, so I mean, there's the story I've been telling about how to engineer intelligent robots. | https://karpathy.ai/lexicap/0015-large.html#00:59:03.600 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | So that's what we want to do. We all kind of want to do well, I mean, some set of us want to do this. | https://karpathy.ai/lexicap/0015-large.html#00:59:10.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | And the question is, what's the most effective strategy? And we've tried it. And there's a bunch | https://karpathy.ai/lexicap/0015-large.html#00:59:16.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | of different things you could do at the extremes, right? One super extreme is, what's the most | https://karpathy.ai/lexicap/0015-large.html#00:59:20.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | effective strategy? And there's a bunch of different things you could do at the extremes, | https://karpathy.ai/lexicap/0015-large.html#00:59:25.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | right? One super extreme is, we do introspection, and we write a program. Okay, that has not worked | https://karpathy.ai/lexicap/0015-large.html#00:59:29.600 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | out very well. Another extreme is we take a giant bunch of neural goo, and we try and train it up to | https://karpathy.ai/lexicap/0015-large.html#00:59:35.920 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | do something. I don't think that's going to work either. So the question is, what's the middle | https://karpathy.ai/lexicap/0015-large.html#00:59:41.280 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | ground? And, and again, this isn't a theological question or anything like that. It's just like, | https://karpathy.ai/lexicap/0015-large.html#00:59:46.960 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | what's the middle ground? And I think it's clear, it's a combination of learning, to me, it's clear, | https://karpathy.ai/lexicap/0015-large.html#00:59:54.240 |
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