AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine
EPISODE 612
|
JANUARY
16,
2023
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About this Episode
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 also explore more broadly the intersection of RL and language models, as well as advancements in offline RL and pre-training for robotics models, inverse RL, Q learning, and a host of papers along the way. Finally, you don’t want to miss Sergey’s predictions for the top developments of the year 2023!
About the Guest
Sergey Levine
UC Berkeley, Physical Intelligence
Resources
- Deal or No Deal? End-to-End Learning for Negotiation Dialogues
- Superhuman AI for multiplayer poker
- Offline RL for Natural Language Generation with Implicit Language Q Learning
- Human-Centric Dialog Training via Offline Reinforcement Learning | Natasha Jaques
- R3M: A Universal Visual Representation for Robot Manipulation
- RT-1: Robotics Transformer for Real-World Control at Scale – Google AI Blog
- SayCan
- CLIPort
- Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

