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Kyle Vogt: Cruise Automation | Lex Fridman Podcast #14 | It'll be one of the most defining, the super exciting that you work on it. | https://karpathy.ai/lexicap/0014-large.html#00:54:50.560 |
Kyle Vogt: Cruise Automation | Lex Fridman Podcast #14 | And, uh, the best of luck in 2018, I'm really excited to see what | https://karpathy.ai/lexicap/0014-large.html#00:54:53.680 |
Kyle Vogt: Cruise Automation | Lex Fridman Podcast #14 | Cruz comes up with. | https://karpathy.ai/lexicap/0014-large.html#00:54:58.640 |
Kyle Vogt: Cruise Automation | Lex Fridman Podcast #14 | Thank you. | https://karpathy.ai/lexicap/0014-large.html#00:54:59.680 |
Kyle Vogt: Cruise Automation | Lex Fridman Podcast #14 | Thanks for having me today. | https://karpathy.ai/lexicap/0014-large.html#00:55:00.160 |
Kyle Vogt: Cruise Automation | Lex Fridman Podcast #14 | Thanks, Carl. | https://karpathy.ai/lexicap/0014-large.html#00:55:01.040 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | The following is a conversation with Leslie Kaelbling. She is a roboticist and professor at | https://karpathy.ai/lexicap/0015-large.html#00:00:00.000 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | MIT. She is recognized for her work in reinforcement learning, planning, robot navigation, and several | https://karpathy.ai/lexicap/0015-large.html#00:00:05.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | other topics in AI. She won the IJCAI Computers and Thought Award and was the editor in chief | https://karpathy.ai/lexicap/0015-large.html#00:00:12.080 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | of the prestigious Journal of Machine Learning Research. This conversation is part of the | https://karpathy.ai/lexicap/0015-large.html#00:00:18.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Artificial Intelligence podcast at MIT and beyond. If you enjoy it, subscribe on YouTube, | https://karpathy.ai/lexicap/0015-large.html#00:00:24.320 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | iTunes, or simply connect with me on Twitter at Lex Friedman, spelled F R I D. | https://karpathy.ai/lexicap/0015-large.html#00:00:30.400 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | And now, here's my conversation with Leslie Kaelbling. | https://karpathy.ai/lexicap/0015-large.html#00:00:36.960 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | What made me get excited about AI, I can say that, is I read Gödel Escher Bach when I was | https://karpathy.ai/lexicap/0015-large.html#00:00:42.800 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | in high school. That was pretty formative for me because it exposed the interestingness of | https://karpathy.ai/lexicap/0015-large.html#00:00:47.680 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | primitives and combination and how you can make complex things out of simple parts | https://karpathy.ai/lexicap/0015-large.html#00:00:57.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | and ideas of AI and what kinds of programs might generate intelligent behavior. So... | https://karpathy.ai/lexicap/0015-large.html#00:01:02.320 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | So you first fell in love with AI reasoning logic versus robots? | https://karpathy.ai/lexicap/0015-large.html#00:01:07.760 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Yeah, the robots came because my first job, so I finished an undergraduate degree in philosophy | https://karpathy.ai/lexicap/0015-large.html#00:01:12.720 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | at Stanford and was about to finish a master's in computer science. And I got hired at SRI | https://karpathy.ai/lexicap/0015-large.html#00:01:18.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | in their AI lab and they were building a robot. It was a kind of a follow on to shaky, | https://karpathy.ai/lexicap/0015-large.html#00:01:25.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | but all the shaky people were not there anymore. And so my job was to try to get this robot to | https://karpathy.ai/lexicap/0015-large.html#00:01:30.960 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | do stuff. And that's really kind of what got me interested in robots. | https://karpathy.ai/lexicap/0015-large.html#00:01:35.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | So maybe taking a small step back to your bachelor's in Stanford in philosophy, | https://karpathy.ai/lexicap/0015-large.html#00:01:39.280 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | did master's and PhD in computer science, but the bachelor's in philosophy. So what was that | https://karpathy.ai/lexicap/0015-large.html#00:01:44.400 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | journey like? What elements of philosophy do you think you bring to your work in computer science? | https://karpathy.ai/lexicap/0015-large.html#00:01:49.440 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | So it's surprisingly relevant. So the part of the reason that I didn't do a computer | https://karpathy.ai/lexicap/0015-large.html#00:01:55.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | science undergraduate degree was that there wasn't one at Stanford at the time, | https://karpathy.ai/lexicap/0015-large.html#00:01:59.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | but that there's a part of philosophy and in fact, Stanford has a special submajor in | https://karpathy.ai/lexicap/0015-large.html#00:02:03.440 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | something called now symbolic systems, which is logic, model theory, formal semantics of | https://karpathy.ai/lexicap/0015-large.html#00:02:07.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | natural language. And so that's actually a perfect preparation for work in AI and computer science. | https://karpathy.ai/lexicap/0015-large.html#00:02:13.280 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | That's kind of interesting. So if you were interested in artificial intelligence, | https://karpathy.ai/lexicap/0015-large.html#00:02:20.080 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | what kind of majors were people even thinking about taking? What is it in your science? | https://karpathy.ai/lexicap/0015-large.html#00:02:26.000 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | So besides philosophies, what were you supposed to do if you were fascinated by the idea of creating | https://karpathy.ai/lexicap/0015-large.html#00:02:31.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | intelligence? There weren't enough people who did that for that even to be a conversation. | https://karpathy.ai/lexicap/0015-large.html#00:02:37.120 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | I mean, I think probably, probably philosophy. I mean, it's interesting in my class, | https://karpathy.ai/lexicap/0015-large.html#00:02:41.920 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | my graduating class of undergraduate philosophers, probably maybe slightly less than half went on in | https://karpathy.ai/lexicap/0015-large.html#00:02:48.320 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | computer science, slightly less than half went on in law and like one or two went on in philosophy. | https://karpathy.ai/lexicap/0015-large.html#00:02:56.800 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | So it was a common kind of connection. Do you think AI researchers have a role | https://karpathy.ai/lexicap/0015-large.html#00:03:02.320 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | to be part time philosophers or should they stick to the solid science and engineering | https://karpathy.ai/lexicap/0015-large.html#00:03:06.960 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | without sort of taking the philosophizing tangents? I mean, you work with robots, | https://karpathy.ai/lexicap/0015-large.html#00:03:11.440 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | you think about what it takes to create intelligent beings. Aren't you the perfect | https://karpathy.ai/lexicap/0015-large.html#00:03:16.240 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | person to think about the big picture philosophy at all? The parts of philosophy that are closest | https://karpathy.ai/lexicap/0015-large.html#00:03:21.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | to AI, I think, or at least the closest to AI that I think about are stuff like | https://karpathy.ai/lexicap/0015-large.html#00:03:25.920 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | belief and knowledge and denotation and that kind of stuff. And that's, you know, | https://karpathy.ai/lexicap/0015-large.html#00:03:29.680 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | it's quite formal. And it's like just one step away from the kinds of computer science work that | https://karpathy.ai/lexicap/0015-large.html#00:03:35.040 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | we do kind of routinely. I think that there are important questions still about what you can do | https://karpathy.ai/lexicap/0015-large.html#00:03:40.800 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | with a machine and what you can't and so on. Although at least my personal view is that I'm | https://karpathy.ai/lexicap/0015-large.html#00:03:50.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | completely a materialist. And I don't think that there's any reason why we can't make a robot be | https://karpathy.ai/lexicap/0015-large.html#00:03:54.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | behaviorally indistinguishable from a human. And the question of whether it's | https://karpathy.ai/lexicap/0015-large.html#00:04:00.960 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | distinguishable internally, whether it's a zombie or not in philosophy terms, I actually don't, | https://karpathy.ai/lexicap/0015-large.html#00:04:06.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | I don't know. And I don't know if I care too much about that. | https://karpathy.ai/lexicap/0015-large.html#00:04:12.720 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Right. But there is a philosophical notions. They're mathematical and philosophical because | https://karpathy.ai/lexicap/0015-large.html#00:04:15.280 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | we don't know so much of how difficult it is. How difficult is the perception problem? | https://karpathy.ai/lexicap/0015-large.html#00:04:20.400 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | How difficult is the planning problem? How difficult is it to operate in this world successfully? | https://karpathy.ai/lexicap/0015-large.html#00:04:25.600 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Because our robots are not currently as successful as human beings in many tasks. | https://karpathy.ai/lexicap/0015-large.html#00:04:30.800 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | The question about the gap between current robots and human beings borders a little bit | https://karpathy.ai/lexicap/0015-large.html#00:04:35.920 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | on philosophy. You know, the expanse of knowledge that's required to operate in a human world, | https://karpathy.ai/lexicap/0015-large.html#00:04:42.480 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | required to operate in this world and the ability to form common sense knowledge, the ability to | https://karpathy.ai/lexicap/0015-large.html#00:04:50.160 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | reason about uncertainty. Much of the work you've been doing, there's open questions there that, | https://karpathy.ai/lexicap/0015-large.html#00:04:55.520 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | I don't know, required to activate a certain big picture view. | https://karpathy.ai/lexicap/0015-large.html#00:05:02.880 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | To me, that doesn't seem like a philosophical gap at all. To me, there is a big technical gap. | https://karpathy.ai/lexicap/0015-large.html#00:05:07.840 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | There's a huge technical gap, but I don't see any reason why it's more than a technical gap. | https://karpathy.ai/lexicap/0015-large.html#00:05:12.960 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Perfect. So, when you mentioned AI, you mentioned SRI, and maybe can you describe to me when you | https://karpathy.ai/lexicap/0015-large.html#00:05:19.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | first fell in love with robotics, with robots or inspired, so you mentioned Flaky or Shaky Flaky, | https://karpathy.ai/lexicap/0015-large.html#00:05:28.400 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | and what was the robot that first captured your imagination, what's possible? | https://karpathy.ai/lexicap/0015-large.html#00:05:38.400 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Right. Well, so the first robot I worked with was Flaky. Shaky was a robot that the SRI | https://karpathy.ai/lexicap/0015-large.html#00:05:42.800 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | people had built, but by the time, I think when I arrived, it was sitting in a corner of somebody's | https://karpathy.ai/lexicap/0015-large.html#00:05:47.120 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | office dripping hydraulic fluid into a pan, but it's iconic and really everybody should read the | https://karpathy.ai/lexicap/0015-large.html#00:05:52.960 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Shaky Tech Report because it has so many good ideas in it. I mean, they invented ASTAR search | https://karpathy.ai/lexicap/0015-large.html#00:06:00.240 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | and symbolic planning and learning macro operators. They had low level kind of | https://karpathy.ai/lexicap/0015-large.html#00:06:06.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | configuration space planning for their robot. They had vision. That's the basic ideas of | https://karpathy.ai/lexicap/0015-large.html#00:06:14.240 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | a ton of things. Can you take a step back? Shaky have arms. What was the job? Shaky was a mobile | https://karpathy.ai/lexicap/0015-large.html#00:06:19.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | robot, but it could push objects, and so it would move things around. With which actuator? With | https://karpathy.ai/lexicap/0015-large.html#00:06:26.240 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | itself, with its base. Okay, great. And they had painted the baseboards black, so it used vision | https://karpathy.ai/lexicap/0015-large.html#00:06:32.080 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | to localize itself in a map. It detected objects. It could detect objects that were surprising to | https://karpathy.ai/lexicap/0015-large.html#00:06:43.600 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | it. It would plan and replan based on what it saw. It reasoned about whether to look and take | https://karpathy.ai/lexicap/0015-large.html#00:06:49.360 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | pictures. I mean, it really had the basics of so many of the things that we think about now. | https://karpathy.ai/lexicap/0015-large.html#00:06:55.520 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | How did it represent the space around it? So it had representations at a bunch of different levels | https://karpathy.ai/lexicap/0015-large.html#00:07:03.280 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | of abstraction. So it had, I think, a kind of an occupancy grid of some sort at the lowest level. | https://karpathy.ai/lexicap/0015-large.html#00:07:08.960 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | At the high level, it was abstract symbolic kind of rooms and connectivity. So where does flaky | https://karpathy.ai/lexicap/0015-large.html#00:07:14.880 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | come in? Yeah, okay. So I showed up at SRI and we were building a brand new robot. As I said, | https://karpathy.ai/lexicap/0015-large.html#00:07:21.440 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | none of the people from the previous project were kind of there or involved anymore. So we were kind | https://karpathy.ai/lexicap/0015-large.html#00:07:28.240 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | of starting from scratch and my advisor was Stan Rosenstein. He ended up being my thesis advisor | https://karpathy.ai/lexicap/0015-large.html#00:07:33.200 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | and he was motivated by this idea of situated computation or situated automata. And the idea was | https://karpathy.ai/lexicap/0015-large.html#00:07:40.880 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | that the tools of logical reasoning were important, but possibly only for the engineers | https://karpathy.ai/lexicap/0015-large.html#00:07:49.600 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | or designers to use in the analysis of a system, but not necessarily to be manipulated in the head | https://karpathy.ai/lexicap/0015-large.html#00:07:58.480 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | of the system itself. So I might use logic to prove a theorem about the behavior of my robot, | https://karpathy.ai/lexicap/0015-large.html#00:08:04.560 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | even if the robot's not using logic in its head to prove theorems. So that was kind of the | https://karpathy.ai/lexicap/0015-large.html#00:08:10.480 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | distinction. And so the idea was to kind of use those principles to make a robot do stuff. But | https://karpathy.ai/lexicap/0015-large.html#00:08:14.400 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | a lot of the basic things we had to kind of learn for ourselves because I had zero background in | https://karpathy.ai/lexicap/0015-large.html#00:08:23.440 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | robotics. I didn't know anything about control. I didn't know anything about sensors. So we | https://karpathy.ai/lexicap/0015-large.html#00:08:29.600 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | reinvented a lot of wheels on the way to getting that robot to do stuff. Do you think that was | https://karpathy.ai/lexicap/0015-large.html#00:08:33.600 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | an advantage or a hindrance? Oh no, I mean, I'm big in favor of wheel reinvention actually. I mean, | https://karpathy.ai/lexicap/0015-large.html#00:08:37.280 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | I think you learn a lot by doing it. It's important though to eventually have the pointers | https://karpathy.ai/lexicap/0015-large.html#00:08:44.800 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | to, so that you can see what's really going on. But I think you can appreciate much better the | https://karpathy.ai/lexicap/0015-large.html#00:08:49.680 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | good solutions once you've messed around a little bit on your own and found a bad one. | https://karpathy.ai/lexicap/0015-large.html#00:08:56.640 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Yeah. I think you mentioned reinventing reinforcement learning and referring to | https://karpathy.ai/lexicap/0015-large.html#00:09:00.400 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | rewards as pleasures, pleasure. Yeah. Or I think, which I think is a nice name for it. | https://karpathy.ai/lexicap/0015-large.html#00:09:04.880 |
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 | Yeah. It's more fun almost. Do you think you could tell the history of AI machine learning | https://karpathy.ai/lexicap/0015-large.html#00:09:11.440 |
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