Abstract:  The challenge of endowing computers with common sense remains one of the major obstacles to achieving the sort of general artificial intelligence envisioned by the field’s founders. A large part of human common sense pertains to the physics of the everyday world, and rests on a foundational understanding of such concepts as objects, motion, obstruction, containers, portals, support, and so on. In this talk I will discuss the challenge of common sense physics in the context of contemporary progress in deep reinforcement learning, and the question of how deep neural networks can learn representations at the required level of abstraction.

Zoom link: https://mit.zoom.us/j/92856609553

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*Please note the change in start time, this talk will start at 2 PM EST.