Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Todd W. Neller"'
Autor:
Todd W. Neller, Hien G. Tran
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12819-12825
In this paper, we introduce a technique for AI generation of the Bullets puzzle, a paper-and-pencil variant of Minesweeper. Whereas traditional Minesweeper can be lost due to the need to guess mine or non-mine positions, our puzzle is fully deducible
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a19751883a5c5fafbb9e522d4f9b1d1
https://doi.org/10.1609/aaai.v36i11.21561
https://doi.org/10.1609/aaai.v36i11.21561
Autor:
Todd W. Neller, Taylor C. Neller
Publikováno v:
Computers and Games ISBN: 9783031340161
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e4d1572014a8a15f99d6de6bddf0fbf
https://doi.org/10.1007/978-3-031-34017-8_1
https://doi.org/10.1007/978-3-031-34017-8_1
Autor:
Todd W. Neller
Publikováno v:
AI Matters. 8:9-11
In this column, we describe the Model AI Assignment "FairKalah: Fair Mancala Competition". After introducing the rules of Mancala (a.k.a. Kalah), we discuss the primary difficulty that its unfairness causes for AI competition assessment, and present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af13f61d22aa952af6c5ee6cc1fc314f
https://doi.org/10.1145/3544897.3544900
https://doi.org/10.1145/3544897.3544900
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15600-15606
We perform an empirical study of Gin Rummy knocking strategies, drawing insight from a population of AI players that vary in both discarding and knocking strategies. For our best performing player, simple linear regression yielded a knocking strategy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dad8e6c2e164b76bdbe1c73909703892
https://doi.org/10.1609/aaai.v35i17.17837
https://doi.org/10.1609/aaai.v35i17.17837
Autor:
Sang T. Truong, Todd W. Neller
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15647-15654
We develop a data-driven approach for hand strength evaluation in the game of Gin Rummy. Employing Convolutional Neural Networks, Monte Carlo simulation, and Bayesian reasoning, we compute both offensive and defensive scores of a game state. After on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f6edf56ff73560f9e42228c6ef59d6
https://doi.org/10.1609/aaai.v35i17.17843
https://doi.org/10.1609/aaai.v35i17.17843
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15622-15629
This paper describes a deterministic approach to building a fixed-strategy gin rummy player. In the paper, we develop and evaluate both heuristic and neural network models for informing draw, discard, and knock decisions in the game. In this empirica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65bdb92ecf3128d4c78fdadfcb11a953
https://doi.org/10.1609/aaai.v35i17.17840
https://doi.org/10.1609/aaai.v35i17.17840
Autor:
Nicholas Mattei, John P. Dickerson, Sanmay Das, Sven Koenig, Anuj Karpatne, Louise Dennis, Iolanda Leite, Larry Medsker, Todd W. Neller
Publikováno v:
AI Matters. 6:5-9
It has been a first year full of unexpected challenges for the new officers of SIGAI! Along with the election of a new leadership team, we began the year with many changes, including integrating a new leadership team, changes in several of the appoin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cb16eb6409d3e94064f0d3835eb7449
https://doi.org/10.1145/3430581.3430583
https://doi.org/10.1145/3430581.3430583
Autor:
Todd W. Neller, Jazmin Collins, Daniel Schneider, Yim Register, Christopher Brooks, Chiawei Tang, Chaolin Liu, Roozbeh Aliabadi, Annabel Hasty, Sultan Albarakati, Haotian Fang, Harvey Yin, Joel Wilson
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12863-12864
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_________::c7b85339f5823f3af92781b4e3f0d601
https://doi.org/10.1609/aaai.v36i11.21569
https://doi.org/10.1609/aaai.v36i11.21569
Autor:
Todd W. Neller
Publikováno v:
AI Matters. 6:8-10
In this column, we introduce the next AAAI/EAAI-2022 mentored undergraduate research challenge: AI-Assisted Game Design (AIAGD). We survey a number of AIAGD applications, provide references, and make suggestions for undergraduates to engage in this o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df3c33f530c7b6602581ec7473c2781b
https://doi.org/10.1145/3446243.3446247
https://doi.org/10.1145/3446243.3446247
Autor:
Ryan Hausen, Jonathan Chen, Ameet Soni, Marion Neumann, Todd W. Neller, Cinjon Resnick, Krista Karbowski Thomason, Michael Guerzhoy, Jiaoyang Li, Sven Koenig, Matthew Evett, Bibin Sebastian, Stephen Keeley, Narges Norouzi, Surya Bhupatiraju, Wolfgang Hoenig, Kumar Krishna Agrawal, Avital Oliver, Tom Larsen, Sejong Yoon, James Urquhart Allingham, Lisa Zhang
Publikováno v:
AAAI
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_________::fd6fa19ceaff491ead9e2cfa8fae10ac
https://doi.org/10.1609/aaai.v34i09.7072
https://doi.org/10.1609/aaai.v34i09.7072