Lecture

Curiosity and Reward: Neuroscience to AI

Description

This lecture explores the importance of intrinsic motivation in video game-playing agents, the ontogeny and phylogeny of embodied AI agents, and biologically plausible mechanisms of information demand. The speakers discuss novelty, surprise, exploration, and adaptation in human sequential decision-making, as well as curiosity and the rational use of limited resources.

Official source

https://mediaspace.epfl.ch/media/0_fjydj2ff

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Ontological neighbourhood

Statistics

Statistical inference: Decision theory, Mathematical statistics

Biology

Neuroscience: Computational neuroscience

Psychology

Applied psychology: Applied behavior analysis

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