Sai Krishna Gottipati

1

Introduction

00:00 • 2min

2

The Multi Agentiral Human in the Lup Lurning and Some of Its Applications

01:46 • 2min

3

How Did You Get Into Computer Vision?

03:26 • 4min

4

Human in the Loop Learning

07:18 • 2min

5

Cogment Paper

09:27 • 5min

6

The Use of an I and R L in Safety Critical Situations?

14:49 • 2min

7

Cogment Versus

16:39 • 2min

8

Asymmetric Self Play for Automatic Gold Discovery in Robotic Manipulation

18:20 • 3min

9

Is It Better to Train a Student to Find a Cold Condition?

20:51 • 3min

10

Is There a Chicken and Egg Problem?

23:32 • 2min

11

Multi Teacher Approach to Self Play in Deep Reinforcement Learning

25:19 • 2min

12

Multi Teachers - Is There Any Alternative to Fix the Distribution?

26:59 • 2min

13

Using Multiple Teachers Is a Good Idea

28:37 • 3min

14

The Relationship Between Paird and the Pard System

31:12 • 2min

15

The Interaction of Continuous Coordination

32:55 • 2min

16

Hanabi Is a Very Challenging Card Game

35:00 • 2min

17

Can Agents Collaborate?

36:38 • 2min

18

Co-Operator Game

38:57 • 2min

19

Is There an Alternative to Population Base Training?

40:49 • 3min

20

How to Navigate the Synthetically Ible Chemical Space

43:36 • 2min

21

How to Find the Reactant in a Continuous Space?

45:42 • 4min

22

How Do You Represent the Chemicals?

49:52 • 2min

23

Are You Using Graphic Representation in Drug Discovery?

51:40 • 3min

24

A Case of Coming Back to Chess

54:40 • 2min

25

Is Mith Missing in the Design?

56:51 • 3min

26

Inductive Bias

59:29 • 2min

27

Is There a Failure of the Function Proxy?

01:01:20 • 2min

28

What Do You Think About Explainability in Chess?

01:03:16 • 2min

29

Scaling Laws - Is Scaling All You Need?

01:05:15 • 3min