Sergey Levine

Sergey Levine, PhD

2 Followers
9 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

Sam Charrington & Sergey Levine 18 Feb 2025 • EN

π0: A Foundation Model for Robotics with Sergey Levine

Today, we're joined by Sergey Levine, associate professor at UC Berkeley and co-founder of Physical Intelligence, to discuss π0 (pi-zero), a general-purpose robotic foundation model. We dig into the model architecture, which pairs a vision language model (VLM) with a diffusion-based action expert, and the model trainin

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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

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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

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

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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

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Podcasts with Sergey Levine

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