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