Sergey Levine

Sergey Levine, PhD

2 Followers
7 Interviews
It’s hard to argue with the fact that today’s robots are pretty cool — often in a way that can be unnerving to us humans. But who writes the software that makes robots intelligent? Meet one such mad scientist: Sergey Levine , PhD in Computer Science, is one of those moving us closer and closer to our future robot utopia. Dr. Levine has been working as an Assistant Professor at the Department of Electrical Engineering and Computer Science at UC Berkeley since 2016. His research focuses on applying machine learning algorithms to teaching autonomous robots to solve complex tasks. Dr. Levine and his team have developed “action-conditioned video prediction models” that help robots be aware of their environment and move around. Sergey has been a guest on multiple podcasts, telling their hosts about the triumphs and challenges of his research work. As someone at the cutting edge of the field, he knows just how intelligent machines are right now and what problems scientists face. Listen to these thought-provoking conversations on Padverb

Sergey Levine's Interviews

Sergey Levine, an assistant professor of EECS at UC Berkeley, is one of the pioneers of modern deep reinforcement learning. His research focuses on developing general-purpose algorithms for autonomous agents to learn how to solve any task. In this episode, we talk about the bottlenecks to generalization in reinforcemen

94 min
00:00
01:34:49
No file found

Today we’re taking a deep dive into the latest and greatest in the world of Reinforcement Learning with our friend Sergey Levine, an associate professor, at UC Berkeley. In our conversation with Sergey, we explore some game-changing developments in the field including the release of ChatGPT and the onset of RLHF. We al

Pieter Abbeel & Sergey Levine 05 Jan 2022 • EN

Sergey Levine explains the challenges of real world robotics

In Episode One of Season Two, Host Pieter Abbeel is joined by guest (and close collaborator) Sergey Levine, professor at UC Berkeley, EECS. Sergey discusses the early years of his career, how Andrew Ng influenced him to become interested in machine learning, his current projects, and his lab's recent accomplishments. T

50 min
00:00
50:03
No file found

Sergey Levine: "Is Reinforcement Learning Sufficient For Designing Generic And Adaptable Robots?" Video format: https://youtu.be/UyOGMqMYarE

52 min
00:00
52:16
No file found
Lex Fridman & Sergey Levine 14 Jul 2020 • EN

#108 – Sergey Levine: Robotics and Machine Learning

Sergey Levine is a professor at Berkeley and a world-class researcher in deep learning, reinforcement learning, robotics, and computer vision, including the development of algorithms for end-to-end training of neural network policies that combine perception and control, scalable algorithms for inverse reinforcement lea

97 min
00:00
01:37:59
No file found
Sam Charrington & Sergey Levine 09 Mar 2020 • EN

Advancements in Machine Learning with Sergey Levine

Today we're joined by Sergey Levine, an Assistant Professor at UC Berkeley. We last heard from Sergey back in 2017, where we explored Deep Robotic Learning. Sergey and his lab’s recent efforts have been focused on contributing to a future where machines can be “out there in the real world, learning continuously through

43 min
00:00
43:08
No file found

Podcasts with Sergey Levine

Shout-outs

Add shout-out

Your shout-out can appear here. Consider telling everyone why Sergey Levine should be followed.

Possible Pairings

You might also be interested in