Generally Intelligent Episode 21: Chelsea Finn, Stanford, on the biggest bottlenecks in robotics and reinforcement learning
17 snips
Nov 3, 2022 
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Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Introduction
00:00 • 2min
How Did You Get Into Computer Science?
01:32 • 2min
How Did You Get Your PhD?
03:05 • 3min
Is There a Benchmark for Distribution Shifts in Machine Learning?
06:10 • 2min
How Do You Decide What Is in or Out of Distribution?
08:31 • 3min
Robotics
11:07 • 2min
Is There a Benchmark for Machine Learning?
12:43 • 2min
The Main Blocker to Working With Real Data?
14:39 • 2min
Are There Alternatives to Reinforcement Learning?
16:15 • 3min
What Are Your Research Opinions on Language Models?
19:13 • 2min
Resonance Learning - Sample Efficiency
21:25 • 2min
What Makes a Great Researcher?
23:22 • 3min
PhD Student - How Did You Become So Proficient?
26:35 • 3min
Is There a Timeline for Artificial General Intelligence?
29:58 • 2min
Building Artificial General Intelligence or a Robot That Can Make a Bowl of Cereal in an Unseen Kitchen?
31:38 • 6min
Is Natural Language Processing a Good Approach to Learning Robotics?
37:20 • 3min