Abstraction In Reinforcement Learning - Detailed Analysis
Michael J. Frank, Brown University Part of the 2022 Brains, Minds and Machines Summer Course. This video is part of the Udacity course " One of the popular directions for scaling up ... the experimental results 40:45 - Final comments Paper: MLST is sponsored by Tufa Labs: Are you interested in working on ARC and cutting-edge AI research with the MindsAI team ... This is lecture 21 of CMPUT 366 Fall 2017 at the University of Alberta.
Agent moves through a maze (left) and its model of environment changes on the go (right) PhD Defense Presentation by Mehdi Zadem, IP Paris. Hierarchical
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