

Episode 18: Oleh Rybkin, UPenn, on exploration and planning with world models
34 snips Jul 11, 2022
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33
Introduction
00:00 • 5min
How Did You Get Into Your Pagete?
05:01 • 4min
Nour Science and the Architecture of the Brain
08:57 • 4min
I've Been Thinking About Reason
13:24 • 5min
Is There a Big Transformer in the Learning Process?
18:12 • 4min
How to Adapt to New Situations?
22:19 • 3min
Do You Have Intuition on How to Get Quick Adoption to New Situations?
24:55 • 1min
Morals Enable Latent Learning
26:13 • 6min
Plan to Explore
31:45 • 5min
The Best Way to Measure Uncertainty Estimation
36:18 • 2min
The Old Radio Isn't Working, Is It?
37:59 • 5min
Theorems of Theoeo Fasti
43:24 • 4min
How to Define Scales?
47:22 • 2min
Using a Robotic Agent
49:37 • 3min
The Agent With Four Legs
52:46 • 3min
The Right Way to Specify Goals
55:18 • 3min
How Do We Learn Language Conditional Agents?
58:25 • 2min
The Problem Is Learning From the Internet
01:00:37 • 2min
Is There an Alternative to Generalization in Reenforcement Learning?
01:02:59 • 4min
I Don't Understand Tiktok, I Don't Understand Tick Talk.
01:06:42 • 3min
Is There a Need for Better Generalization?
01:10:04 • 4min
How to Train a Moral and Image Nit for a Big Data Set
01:13:45 • 5min
How to Train a Dynamic Model on Utope?
01:19:06 • 3min
The Structure People Have Lost to the Giant Transformers in Conpee Mission
01:22:12 • 6min
Morals Are Important, Right?
01:27:54 • 4min
Is There a Benchmark for Adapting to a New Situation?
01:32:02 • 4min
Train Robert to Open a Cabinet in the Google Kitchen
01:35:52 • 3min
How to Train a Biped Robbert to Walk in Simulation
01:39:12 • 4min
The Future of Robotic Manipulation
01:43:19 • 5min
How to Come Up With a Good Idea
01:48:33 • 3min
The Way People Fail to Write Good Papers
01:51:08 • 3min
Did a Lot of Things Work?
01:54:26 • 4min
Plant Explore Does Work, but It's Still Too Simple of a Result
01:58:14 • 3min