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Teaching Problem-Solving in Algorithms and AI

Autor: Lisa Torrey

Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 26:2363-2367

This paper suggests some teaching strategies for Algorithms and AI courses. These courses can have a common goal of teaching complex problem-solving techniques. Based on my experience teaching undergraduates in a small liberal-arts college, the paper

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::711dcb9c29aea9363f342fd778362e19
https://doi.org/10.1609/aaai.v26i3.18952

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Data Cleaning in the Evaluation of a Multi-Site Intervention Project

Autor: Gavin Welch, Andreas H. Taenzer, Friedrich M. von Recklinghausen, Lucy Savitz, Lisa Torrey Weiss

Publikováno v: eGEMs, Vol 5, Iss 3 (2017)
eGEMs
eGEMs (Generating Evidence & Methods to improve patient outcomes); Vol 5, No 3 (2017): High Value Healthcare Collaborative (HVHC) Special Issue; 4

Context: The High Value Healthcare Collaborative (HVHC) sepsis project was a two-year multi-site project where Member health care delivery systems worked on improving sepsis care using a dissemination & implementation framework designed by HVHC. As p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::089e25898cb162f9cf879f1d2162393b

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Reinforcement learning agents providing advice in complex video games

Autor: Lisa Torrey, Matthew D. Taylor, Nicholas Carboni, Anestis Fachantidis, Ioannis Vlahavas

Publikováno v: Connection Science. 26:45-63

This article introduces a teacher–student framework for reinforcement learning, synthesising and extending material that appeared in conference proceedings [Torrey, L., & Taylor, M. E. (2013)]. Teaching on a budget: Agents advising agents in reinfo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9717ed241ccfa309781b438d48244b2c
https://doi.org/10.1080/09540091.2014.885279

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The Turing Test in the Classroom

Autor: Lisa Torrey, Karen Johnson, Sid Sondergard, Pedro Ponce, Laura Desmond

Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 30

This paper discusses the Turing Test as an educational activity for undergraduate students. It describes in detail an experiment that we conducted in a first-year non-CS course. We also suggest other pedagogical purposes that the Turing Test could se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d18e691848cb93e0fb77fbb2a0afa843
https://doi.org/10.1609/aaai.v30i1.9853

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Model AI Assignments 2016

Autor: Todd Neller, Laura Brown, James Marshall, Lisa Torrey, Nate Derbinsky, Andrew Ward, Thomas Allen, Judy Goldsmith, Nahom Muluneh

Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 30

The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning experience, we here present abstracts

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc5fa82f701802db1a847983482fb90d
https://doi.org/10.1609/aaai.v30i1.9861

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Crowd Simulation Via Multi-Agent Reinforcement Learning

Autor: Lisa Torrey

Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 6:89-94

Artificial intelligence is frequently used to control virtual characters in movies and games. When these characters appear in crowds, controlling them is called crowd simulation. In this paper, I suggest that crowd simulation could be accomplished by

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96612d107794b0c59965934749eab670
https://doi.org/10.1609/aiide.v6i1.12390

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Using patient-reported outcomes in routine practice: three novel use cases and implications

Autor: Helena Hvitfeldt Forsberg, Robert J. Reid, Elliott S. Fisher, Eugene C. Nelson, David C. Grossman, James Neil Weinstein, Melanie P. Mastanduno, Lisa Torrey Weiss

Publikováno v: The Journal of ambulatory care management. 38(2)

Patient-reported outcomes (PROs) can show how patients perceive their illness burden over time. Active use of PROs by clinicians at the point of service can help illuminate the patients' longitudinal changes in outcomes, thereby advancing shared deci

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5ede28ac2a693fcd0e1f467cd629193
https://pubmed.ncbi.nlm.nih.gov/25748267

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A Data Driven Approach to Achieving High Value Healthcare

Autor: Lisa Torrey Weiss, Lucy Savitz

Publikováno v: eGEMs, Vol 5, Iss 3 (2017)
eGEMs
eGEMs (Generating Evidence & Methods to improve patient outcomes); Vol 5, No 3 (2017): High Value Healthcare Collaborative (HVHC) Special Issue; 1

The purpose of this special issue is to disseminate learning from the High Value Healthcare Collaborative (HVHC). The HVHC is a voluntary, member-led organization based on trusted, working relationships among delivery system leaders. HVHC’s mission

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::345b77e34e27e75289b452d90d0defbc
https://doi.org/10.5334/egems.241

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Agents Teaching Agents in Reinforcement Learning (Nectar Abstract)

Autor: Lisa Torrey, Matthew D. Taylor

Publikováno v: Machine Learning and Knowledge Discovery in Databases ISBN: 9783662448441
ECML/PKDD (3)

Using reinforcement learning [4] (RL), agents can autonomously learn a control policy to master sequential-decision tasks. Rather than always learning tabula rasa, our recent work [5,7,8] considers how an experienced RL agent, the teacher, can help a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4698c6f1c8d695063019892aa597e0e2
https://doi.org/10.1007/978-3-662-44845-8_50

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Transfer Learning via Advice Taking

Autor: Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin

Publikováno v: Advances in Machine Learning I ISBN: 9783642051760
Advances in Machine Learning I

The goal of transfer learning is to speed up learning in a new task by transferring knowledge from one or more related source tasks. We describe a transfer method in which a reinforcement learner analyzes its experience in the source task and learns

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::445e6bca1b1d93febfb5239d41bd2355
https://doi.org/10.1007/978-3-642-05177-7_7

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