Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games

Autor: Bontrager, Philip, Khalifa, Ahmed, Anderson, Damien, Stephenson, Matthew, Salge, Christoph, Togelius, Julian

Deep reinforcement learning has learned to play many games well, but failed on others. To better characterize the modes and reasons of failure of deep reinforcement learners, we test the widely used Asynchronous Actor-Critic (A2C) algorithm on four d

Externí odkaz: http://arxiv.org/abs/1908.04436

Learning plays a critical role in physiological regulation.

Autor: Ramsay DS; Department of Oral Health Sciences, University of Washington, Seattle, USA. ramsay@uw.edu., Woods SC; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, USA.

Publikováno v: European journal of applied physiology [Eur J Appl Physiol] 2024 Jan; Vol. 124 (1), pp. 375-376. Date of Electronic Publication: 2023 Nov 14.

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The algorithm in machine learning plays an essential role in the identification of patterns in biomedical sciences

Autor: KANAGARAJ S, NAMITHA.V

The algorithm in machine learning plays an essential role in the identification of patterns in biomedical sciences. For complex medical problems, there are many classifications of medical images and forecasts of the model. The neurological disease wh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::532ba70456e20589212de443ecc5903d

Learning Plays after Brecht

Autor: Reiner Steinweg

Publikováno v: The Brecht Yearbook / Das Brecht-Jahrbuch 46

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e7f533ae58ca1104d218cd77c21d1e0
https://doi.org/10.2307/j.ctv1hbf25s.17