Aravind Srinivas 2

1

Introduction

00:00 • 2min

2

Using Pre-Trained Self-Supervised Representations in Deep Learning?

01:33 • 2min

3

RL and Decision Transformers - A Sequence Model

03:13 • 5min

4

How Does GPT Look Like a Transformer?

08:05 • 3min

5

How to Turn RL Into Supervised Learning?

11:07 • 3min

6

Why Unsupervised Learning Isn't Working for RL?

14:35 • 3min

7

Is It Important to Extrapolate Beyond the Training Data?

17:17 • 3min

8

TD Learning

20:26 • 4min

9

Is It Possible to Write the Ultimate RL Algorithm on a Whiteboard?

24:34 • 2min

10

Is It Really the Self Supervised Mechanism?

26:38 • 2min

11

The Trend Doesn't Look to Stop the Continued Diversity

28:56 • 2min

12

Is the Decision Transformer Really Relevant in the Big Data Regime?

30:59 • 3min

13

Decision Transformer

33:59 • 2min

14

Is There a Future for Decision Transformers?

36:24 • 3min

15

Decision Transformer - Model Free or Model Based?

39:19 • 3min

16

How to Evaluate a Video GPT Model?

42:04 • 3min

17

Video GBT

44:45 • 2min

18

The Video Generation Problem, Is It Really a Problem?

46:40 • 4min

19

Is VQBA a Distinctive VAE?

50:51 • 2min

20

Is There Something Causal Needed to Make Deep Learning Work?

52:58 • 2min

21

Are You Exploring or Exploring?

54:34 • 4min