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Combinatorial game theory
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21	Hardness and Approximation Results for Black Hole Search in Arbitrary Networks⋆ Ralf Klasing⋆⋆, Euripides Markou⋆ ⋆ ⋆ , Tomasz Radzik† , and Fabiano Sarracco‡ Abstract. A black hole is a highly harmful st Add to Reading List Source URL: emarkou.users.uth.gr Language: English - Date: 2016-05-24 11:28:43 Graph theory Mathematics Routing algorithms Edsger W. Dijkstra Combinatorial optimization Search algorithms Game artificial intelligence A* search algorithm Shortest path problem Flow network Tree Graph
22	On the Stable Matchings that can be Reached When the Agents Go Marching in One by One Christine T. Cheng University of Wisconsin-Milwaukee October 12, 2015 Abstract Add to Reading List Source URL: www.cs.uwm.edu Language: English - Date: 2015-10-14 10:33:14 Mathematics Graph theory Matching Discrete mathematics Combinatorics Cooperative games Game theory Combinatorial optimization Stable marriage problem National Resident Matching Program CC
23	Combinatorial Auctions with Restricted Complements Ittai Abraham Microsoft Research, Silicon Valley Moshe Babaioff Microsoft Research, Silicon Valley Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2012-04-26 10:21:18 Graph theory Mathematics Mechanism design Game theory Auctions Hypergraph Valuation VickreyClarkeGroves auction VickreyClarkeGroves mechanism Approximation algorithm Treewidth Optimization problem
24	Overlays with preferences: Approximation algorithms for matching with preference lists Giorgos Georgiadis Marina Papatriantafilou Happier times in Iceland, Add to Reading List Source URL: www.cse.chalmers.se Language: English - Date: 2011-05-18 09:51:33 Mathematics Discrete mathematics Matching Combinatorics Cooperative games Game theory Combinatorial optimization Preference Stable marriage problem
25	Genome Informatics 12: 73–A Multi-Queue Branch-and-Bound Algorithm for Anytime Optimal Search Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-01-17 03:51:05 Combinatorial optimization Mathematics Search algorithms Applied mathematics Routing algorithms Probability theory Stochastic processes A* search algorithm Game artificial intelligence Branch and bound Priority queue Algorithm
26	Combinatorial Game Theory November 20, Colouring Terminology Add to Reading List Source URL: math.colorado.edu Language: English - Date: 2015-12-04 19:21:55 Graph theory Graph coloring Graph Tree Neighbourhood Defective coloring
27	Received 10 May 2004 Accepted 16 June 2004 Published online 25 October 2004 The disadvantage of combinatorial communication Add to Reading List Source URL: octavia.zoology.washington.edu Language: English - Date: 2004-11-24 18:39:07 Asymmetric information Game theory Animal communication Sexual selection Biology Zoology Information Signaling game Railway signalling Signalling theory Signaller Handicap principle
28	Challenges in Selecting Paths for Navigational Queries: Trade-Off of Benefit of Path versus Cost of Plan Mar´ıa-Esther Vidal Louiqa Raschid Add to Reading List Source URL: webdb2004.cs.columbia.edu Language: English - Date: 2004-05-31 19:36:24 Graph theory Information science Information retrieval Search algorithms Routing algorithms Combinatorial optimization Game artificial intelligence A* search algorithm Query optimization Path PubMed Best-first search
29	CPSC Combinatorial Auc4ons, Con4nued… Shaili Jain September 29, 2011 Combinatorial Auc4on Model Add to Reading List Source URL: zoo.cs.yale.edu Language: English - Date: 2011-10-03 03:00:31 Descriptive complexity Query Auction theory Game theory Auctions Database theory
30	Bandits all the way down: UCB1 as a simulation policy in Monte Carlo Tree Search Edward J. Powley, Daniel Whitehouse, and Peter I. Cowling Department of Computer Science York Centre for Complex Systems Analysis Universit Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Monte Carlo methods Combinatorial game theory Monte Carlo tree search Statistical mechanics General game playing Reinforcement learning Simulation Thomas Nast Artificial intelligence