Brain Inspired

BI ViDA Panel Discussion: Deep RL and Dopamine

Sep 2, 2021
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Chapters
Transcript
1
Introduction
00:00 • 1min
2
What Can Artificial Intelligence Teach Us About Dopemin?
01:24 • 3min
3
The Problems in the Experimental Side of System Theory and Deep Learning
04:47 • 2min
4
Do You Think Asho Is the Right Person to Bring in Here?
07:00 • 2min
5
Is the Training of the Networks Really a Model of the Learning Process?
08:30 • 2min
6
Reward Maximization for Higher Cognition
10:18 • 2min
7
Is Reward Enough?
11:59 • 3min
8
Can We Be Distracted by a Deparel Model?
14:58 • 2min
9
Defend Your Colleagues, Sir?
16:59 • 2min
10
The Nature Noro Science Paper Is Really About Metal Learning
18:35 • 2min
11
Cognitive Science - Reward Is Not Enough?
20:50 • 3min
12
Dopemin Co Release
23:26 • 2min
13
Dopemin Is Solved?
25:47 • 4min
14
Dopemin Modeling
29:30 • 2min
15
Dopemin Reward Circuits in the Mushroom Body?
31:36 • 2min
16
Is Structure Important in an a I Model?
33:41 • 2min
17
Reward Maximization Is Limitation With the Homeostatic R L Framework
35:59 • 4min
18
Is There a Difference Between General Purpose and Artificial General Intelligence?
39:50 • 2min
19
Ida Mabe Interesting, I Think He Qits in Tum Fom.
42:03 • 2min
20
Are the Deep Reinforcement Learning Systems Constrained Enough?
44:32 • 4min
21
Deep Reenforcement Learning
48:06 • 4min
22
Is There a Neural Network?
52:26 • 3min
23
Brains Are Deepar El Systems
55:03 • 2min