Search results for "Othello"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
99	Joshua A. Singer	Co-evolving a Neural-Net Evaluation Function for Othello by Combining Genetic Algorithms and Reinforcement Learning.	International Conference on Computational Science (2)	2001	DBLP DOI BibTeX RDF
65	Thomas R. Lincke	Strategies for the Automatic Construction of Opening Books.	Computers and Games	2000	DBLP DOI BibTeX RDF	opening book construction, expansion strategy, best-first, Awari, Othello
65	Michael Buro	From Simple Features to Sophisticated Evaluation Functions.	Computers and Games	1998	DBLP DOI BibTeX RDF	automatic feature construction, GLEM, Othello
65	Xinbo Gao 0001, Hiroyuki Iida, Jos W. H. M. Uiterwijk, H. Jaap van den Herik	A Speculative Strategy.	Computers and Games	1998	DBLP DOI BibTeX RDF	speculative play, pruning, opponent modelling, Othello
62	Philip Hingston, Martin Masek	Experiments with Monte Carlo Othello.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
62	Simon M. Lucas, Thomas Philip Runarsson	Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation.	CIG	2006	DBLP DOI BibTeX RDF
62	Konstantinos Tournavitis	MOUSE(mu): A Self-teaching Algorithm that Achieved Master-Strength at Othello.	Computers and Games	2002	DBLP DOI BibTeX RDF
62	Eleazar Eskin, Eric V. Siegel	Genetic programming applied to Othello: introducing students to machine learning research.	SIGCSE	1999	DBLP DOI BibTeX RDF
46	Paul E. Utgoff, Richard P. Cochran	A Least-Certainty Heuristic for Selective Search.	Computers and Games	2000	DBLP DOI BibTeX RDF	Selective search, evaluation function error, misordering assumption, evaluation goal, swing threshold, LCF, random trees, artificial time, confidence, certainty, swing, Amazons, Othello
46	Bruce Abramson	Expected-Outcome: A General Model of Static Evaluation.	IEEE Trans. Pattern Anal. Mach. Intell.	1990	DBLP DOI BibTeX RDF	expected-outcome model, game-tree node, Othello evaluator, artificial intelligence, artificial intelligence, game theory, game theory, heuristic, decision making, linear regression
43	Siang Yew Chong, Mei K. Tan, Jonathon David White	Observing the evolution of neural networks learning to play the game of Othello.	IEEE Trans. Evol. Comput.	2005	DBLP DOI BibTeX RDF
37	Yusuke Hamaguchi, Daisuke Nagasaka, Takahiro Tamesue, Kazunori Itoh, Michio Shimizu, Masahiko Sugimoto, Masami Hashimoto, Mizue Kayama	A Multimodal Board Game System Interface Using Finger Input for Visually Impaired Computer Users.	HCI (5)	2009	DBLP DOI BibTeX RDF	visually impaired person, tactile guide, speech guide, vibrating stimulus, auditory display
27	Jacek Mandziuk	Computational Intelligence in Mind Games.	Challenges for Computational Intelligence	2007	DBLP DOI BibTeX RDF	CI in games, soft-computing methods, Give-Away Checkers, Backgammon, Scrabble, challenges, Bridge, game playing, Go, Poker, Checkers, Chess, Othello
24	Zhengfu He, Xuyang Ge, Qiong Tang, Tianxiang Sun, Qinyuan Cheng, Xipeng Qiu	Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT.	CoRR	2024	DBLP DOI BibTeX RDF
24	Antonio Norelli, Alessandro Panconesi	Olivaw: Mastering Othello Without Human Knowledge, nor a Fortune.	IEEE Trans. Games	2023	DBLP DOI BibTeX RDF
24	Dean S. Hazineh, Zechen Zhang, Jeffery Chiu	Linear Latent World Models in Simple Transformers: A Case Study on Othello-GPT.	CoRR	2023	DBLP DOI BibTeX RDF
24	Ti-Rong Wu, Hung Guei, Po-Wei Huang, Pei-Chiun Peng, Ting-Han Wei, Chung-Chin Shih, Yun-Jui Tsai	MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games.	CoRR	2023	DBLP DOI BibTeX RDF
24	Hiroki Takizawa	Othello is Solved.	CoRR	2023	DBLP DOI BibTeX RDF
24	Béatrice Biancardi, Enrico Lauletta, Antonio Norelli, Alessandro Panconesi, Maurizio Mancini	Errare humanum est, perseverare autem diabolicum: A Follow-Up Study on the Human-Likeness of an AI Othello Player.	IVA	2023	DBLP DOI BibTeX RDF
24	Mohammad Alharbi, Robert S. Laramee, Tom Cheesman	TransVis: Integrated Distant and Close Reading of Othello Translations.	IEEE Trans. Vis. Comput. Graph.	2022	DBLP DOI BibTeX RDF
24	Samantha E. Miller Noever, David A. Noever	Word Play for Playing Othello (Reverses).	CoRR	2022	DBLP DOI BibTeX RDF
24	Jr-Chang Chen, Chao-Liang Weng, Tsan-sheng Hsu	Preliminary Design, Implementation and Observations of the Multi-player Game Tri-Othello.	TAAI	2022	DBLP DOI BibTeX RDF
24	Enrico Lauletta, Béatrice Biancardi, Antonio Norelli, Maurizio Mancini, Alessandro Panconesi	Errare humanum est?: a pilot study to evaluate the human-likeness of a AI othello playing agent.	IVA	2022	DBLP DOI BibTeX RDF
24	Antonio Norelli, Alessandro Panconesi	OLIVAW: Mastering Othello with neither Humans nor a Penny.	CoRR	2021	DBLP BibTeX RDF
24	Anggina Primanita, Mohd Nor Akmal Khalid, Hiroyuki Iida	Characterizing the Nature of Probability-Based Proof Number Search: A Case Study in the Othello and Connect Four Games.	Inf.	2020	DBLP DOI BibTeX RDF
24	Ching-Nung Lin, Fabien Letouzey, Shi-Jim Yen	Decapus wins Othello 10 × 10 tournament.	J. Int. Comput. Games Assoc.	2019	DBLP DOI BibTeX RDF
24	Ching-Nung Lin, Jr-Chang Chen, Shi-Jim Yen	Deep Learning Competition Framework on Othello for Education.	IEEE Trans. Games	2019	DBLP DOI BibTeX RDF
24	Pranav Gangwar, Satvik Maurya, Shubham Garg, Sakshi Goyal, Aditya S. Kumar, Preyesh Dalmia, Neeta Pandey	Hardware/Software Co-Design of a High-Speed Othello Solver.	MWSCAS	2019	DBLP DOI BibTeX RDF
24	Ye Yu 0001, Djamal Belazzougui, Chen Qian 0001, Qin Zhang 0001	Memory-Efficient and Ultra-Fast Network Lookup and Forwarding Using Othello Hashing.	IEEE/ACM Trans. Netw.	2018	DBLP DOI BibTeX RDF
24	Pawel Liskowski, Wojciech Jaskowski, Krzysztof Krawiec	Learning to Play Othello With Deep Neural Networks.	IEEE Trans. Games	2018	DBLP DOI BibTeX RDF
24	Satvik Jain, Siddharth Verma, Swaraj Kumar, Swati Aggarwal	An Evolutionary Learning Approach to Play Othello Using XCS.	CEC	2018	DBLP DOI BibTeX RDF
24	Pawel Liskowski, Wojciech Jaskowski, Krzysztof Krawiec	Learning to Play Othello with Deep Neural Networks.	CoRR	2017	DBLP BibTeX RDF
24	Carlos Nascimento Silla Jr., Marcelo Paglioney, Iuri G. P. Mardegany	jOthelloT: A java-based open source Othello framework for artificial intelligence undergraduate classes.	FIE	2016	DBLP DOI BibTeX RDF
24	Vassilis Makris, Dimitris Kalles	Evolving Multi-Layer Neural Networks for Othello.	SETN	2016	DBLP DOI BibTeX RDF
24	Zhao Geng, Tom Cheesman, Robert S. Laramee, Kevin Flanagan, Stephan Thiel	ShakerVis: Visual analysis of segment variation of German translations of Shakespeare's Othello.	Inf. Vis.	2015	DBLP DOI BibTeX RDF
24	Clive Frankland, Nelishia Pillay	Evolving game playing strategies for Othello.	CEC	2015	DBLP DOI BibTeX RDF
24	Clive Frankland, Nelishia Pillay	Evolving Game Playing Strategies for Othello Incorporating Reinforcement Learning and Mobility.	SAICSIT	2015	DBLP DOI BibTeX RDF
24	Tetsuyuki Takahama, Setsuko Sakai	Emerging collective intelligence in Othello players evolved by differential evolution.	CIG	2015	DBLP DOI BibTeX RDF
24	Tomoya Sato, Tetsu Narumi	Acceleration of Othello Computer Game Using an FPGA Tablet.	CANDAR	2015	DBLP DOI BibTeX RDF
24	Yuki Takeshita, Makoto Sakamoto, Takao Ito, Satoshi Ikeda	Perfect Play in Miniature Othello.	ICGEC (2)	2015	DBLP DOI BibTeX RDF
24	Wojciech Jaskowski	Systematic n-Tuple Networks for Othello Position Evaluation.	J. Int. Comput. Games Assoc.	2014	DBLP DOI BibTeX RDF
24	Thomas Philip Runarsson, Simon M. Lucas	Preference Learning for Move Prediction and Evaluation Function Approximation in Othello.	IEEE Trans. Comput. Intell. AI Games	2014	DBLP DOI BibTeX RDF
24	Wojciech Jaskowski	Systematic N-tuple Networks for Position Evaluation: Exceeding 90% in the Othello League.	CoRR	2014	DBLP BibTeX RDF
24	Wojciech Jaskowski, Marcin Grzegorz Szubert, Pawel Liskowski	Multi-Criteria Comparison of Coevolution and Temporal Difference Learning on Othello.	EvoApplications	2014	DBLP DOI BibTeX RDF
24	Marcin Grzegorz Szubert, Wojciech Jaskowski, Krzysztof Krawiec	On Scalability, Generalization, and Hybridization of Coevolutionary Learning: A Case Study for Othello.	IEEE Trans. Comput. Intell. AI Games	2013	DBLP DOI BibTeX RDF
24	Michiel van der Ree, Marco A. Wiering	Reinforcement learning in the game of Othello: Learning against a fixed opponent and learning from self-play.	ADPRL	2013	DBLP DOI BibTeX RDF
24	Jacopo Festa, Stanislao Davino	"IAgo vs Othello": An Artificial Intelligence Agent Playing Reversi.	PAI@AI*IA	2013	DBLP BibTeX RDF
24	Sjoerd van den Dries, Marco A. Wiering	Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural Networks.	IEEE Trans. Neural Networks Learn. Syst.	2012	DBLP DOI BibTeX RDF
24	Huy Nguyen, Kokolo Ikeda, Bac Le	Extracting Important Patterns for Building State-Action Evaluation Function in Othello.	TAAI	2012	DBLP DOI BibTeX RDF
24	Basit Shahzad, Lolowah R. Alssum, Yousef Al-Ohali	Selection of Suitable Evaluation Function Based on Win/Draw Parameter in Othello.	ITNG	2012	DBLP DOI BibTeX RDF
24	Hisashi Handa	Moves by taking account into other players in Othello.	SCIS&ISIS	2012	DBLP DOI BibTeX RDF
24	Zhao Geng, Robert S. Laramee, Tom Cheesman, Alison Ehrmann, David M. Berry	Visualizing Translation Variation: Shakespeare's Othello.	ISVC (1)	2011	DBLP DOI BibTeX RDF
24	David Robles, Philipp Rohlfshagen, Simon M. Lucas	Learning non-random moves for playing Othello: Improving Monte Carlo Tree Search.	CIG	2011	DBLP DOI BibTeX RDF
24	Krzysztof Krawiec, Marcin Grzegorz Szubert	Learning n-tuple networks for othello by coevolutionary gradient search.	GECCO	2011	DBLP DOI BibTeX RDF
24	Edward P. Manning	Using Resource-Limited Nash Memory to Improve an Othello Evaluation Function.	IEEE Trans. Comput. Intell. AI Games	2010	DBLP DOI BibTeX RDF
24	Miltiadis Smerdis, Pavlos Malakonakis, Apostolos Dollas	CarlOthello : An FPGA-Based Monte Carlo Othello player.	FPT	2010	DBLP DOI BibTeX RDF
24	Takayuki Mabuchi, Takahiro Watanabe, Retsu Moriwaki, Yuji Aoyama, Amarjargal Gundjalam, Yuichiro Yamaji, Hironari Nakada, Minoru Watanabe	Othello Solver based on a soft-core MIMD processor array.	FPT	2010	DBLP DOI BibTeX RDF
24	S. Ying Lin, Jonathon David White	Spatial processing layer effects on the evolution of neural networks to play the game of Othello.	IEEE Congress on Evolutionary Computation	2009	DBLP DOI BibTeX RDF
24	Marcin Grzegorz Szubert, Wojciech Jaskowski, Krzysztof Krawiec	Coevolutionary Temporal Difference Learning for Othello.	CIG	2009	DBLP DOI BibTeX RDF
24	Nees Jan van Eck, Michiel C. van Wezel	Application of reinforcement learning to the game of Othello.	Comput. Oper. Res.	2008	DBLP DOI BibTeX RDF
24	Kyung-Joong Kim 0001, Sung-Bae Cho	Ensemble approaches in evolutionary game strategies: A case study in Othello.	CIG	2008	DBLP DOI BibTeX RDF
24	Yasuhiro Osaki, Kazutomo Shibahara, Yasuhiro Tajima, Yoshiyuki Kotani	An Othello evaluation function based on Temporal Difference Learning using probability of winning.	CIG	2008	DBLP DOI BibTeX RDF
24	Edward P. Manning	Temporal Difference Learning of an Othello Evaluation Function for a Small Neural Network with Shared Weights.	CIG	2007	DBLP DOI BibTeX RDF
24	Thomas Philip Runarsson, Egill Orn Jonsson	Effect of look-ahead search depth in learning position evaluation functions for Othello using -greedy exploration.	CIG	2007	DBLP DOI BibTeX RDF
24	Kyung-Joong Kim 0001, Heejin Choi, Sung-Bae Cho	Hybrid of Evolution and Reinforcement Learning for Othello Players.	CIG	2007	DBLP DOI BibTeX RDF
24	Kyung-Joong Kim 0001, Sung-Bae Cho	Evolutionary Othello Players Boosted by Opening Knowledge.	IEEE Congress on Evolutionary Computation	2006	DBLP DOI BibTeX RDF
24	Kazuteru Miyazaki, Sougo Tsuboi, Shigenobu Kobayashi	Development of a reinforcement learning system to play Othello.	Artif. Life Robotics	2004	DBLP DOI BibTeX RDF
24	C. K. Wong, K. K. Lo, Philip Heng Wai Leong	An FPGA-based Othello endgame solver.	FPT	2004	DBLP DOI BibTeX RDF
24	Siang Yew Chong, Day Chyi Ku, Heng Siong Lim, Mei K. Tan, Jonathon David White	Evolved neural networks learning Othello strategies.	IEEE Congress on Evolutionary Computation	2003	DBLP DOI BibTeX RDF
24	Michael Buro	The evolution of strong othello programs.	IWEC	2002	DBLP BibTeX RDF
24	Ashraf M. Abdelbar, Gene A. Tagliarini	Using neural network learning in an Othello evaluation function.	J. Exp. Theor. Artif. Intell.	1998	DBLP DOI BibTeX RDF
24	Taku Yoshioka, Shin Ishii, Minoru Ito	Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning.	ICONIP	1998	DBLP BibTeX RDF
24	Michael Buro	The Othello Match of the Year: Takeshi Murakami vs. Logistello.	J. Int. Comput. Games Assoc.	1997	DBLP DOI BibTeX RDF
24	Michael Buro	The Othello Match of the Year: Takeshi Murakami vs. Logistello.	J. Int. Comput. Games Assoc.	1997	DBLP DOI BibTeX RDF
24	David E. Moriarty, Risto Miikkulainen	Discovering Complex Othello Strategies through Evolutionary Neural Networks.	Connect. Sci.	1995	DBLP DOI BibTeX RDF
24	Jean-Marc Alliot, Nicolas Durand 0002	A Genetic Algorithm to Improve an Othello Program.	Artificial Evolution	1995	DBLP DOI BibTeX RDF
24	Shigeki Iwata, Takumi Kasai	The Othello game on an n*n board is PSPACE-complete.	Theor. Comput. Sci.	1994	DBLP DOI BibTeX RDF
24	Richard E. Korf, David Maxwell Chickering	Best-First Minimax Search: Othello Results.	AAAI	1994	DBLP BibTeX RDF
24	Tom Fawcett	Othello Domain Theory.		1991	DOI RDF
24	Kai-Fu Lee, Sanjoy Mahajan	The Development of a World Class Othello Program.	Artif. Intell.	1990	DBLP DOI BibTeX RDF
24	Jen-Wen Liao, Jason S. Chang	Computer Generation Of Chinese Commentary On Othello Games.	ROCLING	1990	DBLP BibTeX RDF
24	Anders Kierulf	Smart Game Board: a workbench for game playing programs, with Go and Othello as case studies.		1990	RDF
24	Paul S. Rosenbloom	A World-Championship-Level Othello Program.	Artif. Intell.	1982	DBLP DOI BibTeX RDF
24	Robert Vernon Phillips III	Modelling of Heuristic Evaluation Strategies in Game Playing: Linear and Configural Effects in Othello.		1981	RDF
19	Edward P. Manning	Coevolution in a large search space using resource-limited nash memory.	GECCO	2010	DBLP DOI BibTeX RDF	games, nash equilibrium, coevolution, evaluation function
19	Toru Ueda, Tsuyoshi Hashimoto, Junichi Hashimoto, Hiroyuki Iida	Weak Proof-Number Search.	Computers and Games	2008	DBLP DOI BibTeX RDF
19	Jacek Mandziuk	Some thoughts on using Computational Intelligence methods in classical mind board games.	IJCNN	2008	DBLP DOI BibTeX RDF
19	Kyung-Joong Kim 0001, Sung-Bae Cho	Evolutionary Algorithms for Board Game Players with Domain Knowledge.	Advanced Intelligent Paradigms in Computer Games	2007	DBLP DOI BibTeX RDF
19	Shinya Minatani, Itaru Kitahara, Yoshinari Kameda, Yuichi Ohta	Face-to-Face Tabletop Remote Collaboration in Mixed Reality.	ISMAR	2007	DBLP DOI BibTeX RDF
19	Ulf Lorenz, Tobias Tscheuschner	Player Modeling, Search Algorithms and Strategies in Multi-player Games.	ACG	2006	DBLP DOI BibTeX RDF
19	V. Scott Gordon 0001, Ahmed Reda	Trappy Minimax - using Iterative Deepening to Identify and Set Traps in Two-Player Games.	CIG	2006	DBLP DOI BibTeX RDF
19	Chrilly Donninger, Alex Kure, Ulf Lorenz	Parallel Brutus: The First Distributed, FPGA Accelerated Chess Program.	IPDPS	2004	DBLP DOI BibTeX RDF
19	Ulf Lorenz, Burkhard Monien	The Secret of Selective Game Tree Search, When Using Random-Error Evaluations.	STACS	2002	DBLP DOI BibTeX RDF
19	Darse Billings	Abstracting Imperfect Information Game Trees.	SARA	2002	DBLP DOI BibTeX RDF
19	Levente Kocsis, Jos W. H. M. Uiterwijk, H. Jaap van den Herik	Learning Time Allocation Using Neural Networks.	Computers and Games	2000	DBLP DOI BibTeX RDF	search decisions, time allocation, Lines of Action, genetic algorithms, temporal difference learning
19	Ulf Lorenz	Controlled Conspiracy-2 Search.	STACS	2000	DBLP DOI BibTeX RDF	algorithms and datastructures
19	Robert Levinson	Towards Domain-Independent Machine Intelligence.	ICCS	1993	DBLP DOI BibTeX RDF
19	Satoshi Matsuoka, Shin Takahashi, Tomihisa Kamada, Akinori Yonezawa	A General Framework for Bidirectional Translation between Abstract and Pictorial Data.	ACM Trans. Inf. Syst.	1992	DBLP DOI BibTeX RDF	bidirectional translation, visualization, user interface, direct manipulation, user interface management systems
19	Iaakov Exman	Solving Sequential Games with Boltzmann-Learned Tactics.	PPSN	1990	DBLP DOI BibTeX RDF