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OpenTalks.AI - Сергей Шумский, Символьное мышле...
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February 14, 2019
Science
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OpenTalks.AI - Сергей Шумский, Символьное мышление роботов
OpenTalks.AI
February 14, 2019
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Transcript
The Symbolic Mind of Robots Sergey Shumsky, 2019
Motivation: common architecture of robotic brains Reinforcement learning
Motivation: common architecture of robotic brains
Agenda I. Problem Deep Reinforcement Learning II. Solution Deep Symbolic
Learning III. Prospects Robot Operating System
Agenda I. Problem Deep Reinforcement Learning
AlphaZero: intuition + calculation ▪ Deep intuition: Yes ▪ Deep
planning: No ▪ Complexity of learning ∝ 2 , 3 TFLOPSyears – weights update 500 TFLOPSyears – search options
Google DeepMind research program "One way you can think about
our research program is: 'Can we build out from our perception, using deep-learning systems and learning from first principles? Can we build out all the way to high-level thinking and symbolic thinking?' " D. Hassabis (Google DeepMind)
Agenda I. Problem Deep Reinforcement Learning II. Solution Deep Symbolic
Learning
Deep symbolic learning ▪ Hierarchy of plans state sequences ▪
Planning and Learning in real time ▪ Complexity of learning ∝ ∝
Images and Symbols Coding Decoding Image ~ 106 bits Sensors
States Actions Effectors Image ~ 106 bits Symbols ~ 5 bits Planning
The trick: symbolic coding of images 2106 ~ , →
1 2 … > ( = 30, k = 7) symbols images = 210 <
Symbolic thinking ~ planning ▪ Coding of sequences ~ k
variants (words) ~ 30 Symbolic sequences can be remembered symbol +1 +2 ~ 30 ~ 30
Symbolic thinking ~ planning символ +1 +2 Image code Sequence
code (pattern)
Deep symbolic learning Layer L Layer L -1 1 2
…
Deep symbolic learning ▪ Learning useful patterns of interaction with
the world ▪ At all hierarchical levels ▪ In real time Encoder- Decoder +1 +1 Parser +1 Encoder- Decoder Parser symbols patterns symbols
Agenda I. Problem Deep Reinforcement Learning II. Solution Deep Symbolic
Learning III. Prospects Robot Operating System
Prospects Sensory intelligence Strategic intelligence Robotic intelligence Goal
setting and planning to achieve them Achieving the goal
Open AI gym Mountain car (Igor Pivovarov)
Interested? Join us!
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