Published Oct 14, 2021
Chelsea Finn on Meta Learning & Model Based Reinforcement Learning
Join Stanford professor Chelsea Finn as she delves into groundbreaking robot learning challenges, pioneering meta learning techniques, and the transformative role of model-based reinforcement learning, highlighting the need for robust data scaling and collaboration in advancing robotic capabilities.
Topics covered
Popular Clips
Episode Highlights
Related Episodes
Eric Jang on Robots Learning at Google and Generalization via Language
Answers 383 questions
Sergey Levine on Robot Learning & Offline RL
Answers 383 questions
Hugo Larochelle: Deep Learning as Science
Answers 383 questions
Ben Wellington: ML for Finance and Storytelling through Data
Answers 383 questions
Sebastian Raschka: AI Education and Research
Answers 383 questions
Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science
Answers 383 questions
Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibility
Answers 383 questions
François Chollet: Keras and Measures of Intelligence
Answers 383 questions
Pete Florence: Dense Visual Representations, NeRFs, and LLMs for Robotics
Answers 383 questions
Stuart Russell: The Foundations of Artificial Intelligence
Answers 383 questions
Luis Voloch: AI and Biology
Answers 383 questions
Max Braun: Teaching Robots to Help People in their Everyday Lives
Answers 383 questions
Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment
Answers 383 questions
Tal Linzen: Psycholinguistics and Language Modeling
Answers 383 questions
Chip Huyen: Machine Learning Tools and Systems
Answers 383 questions