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» Using iterated reasoning to predict opponent strategies
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EWCBR
2008
Springer
13 years 9 months ago
Situation Assessment for Plan Retrieval in Real-Time Strategy Games
Case-Based Planning (CBP) is an effective technique for solving planning problems that has the potential to reduce the computational complexity of the generative planning approache...
Kinshuk Mishra, Santiago Ontañón, As...
ATAL
2003
Springer
14 years 24 days ago
Towards a pareto-optimal solution in general-sum games
Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
Sandip Sen, Stéphane Airiau, Rajatish Mukhe...
ML
2006
ACM
113views Machine Learning» more  ML 2006»
13 years 7 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch
ICCBR
2005
Springer
14 years 1 months ago
Combining Case-Based Memory with Genetic Algorithm Search for Competent Game AI
We use case-injected genetic algorithms for learning how to competently play computer strategy games. Case-injected genetic algorithms combine genetic algorithm search with a case-...
Sushil J. Louis, Chris Miles
DNA
2001
Springer
125views Bioinformatics» more  DNA 2001»
14 years 2 days ago
PNA-mediated Whiplash PCR
The directed evolution of proteins, using an in vitro domainal shuffling strategy was proposed in (J. Kolkman and W. Stemmer, Nat. Biotech. 19, 423 (2001). Due to backhybridization...
John A. Rose, Russell J. Deaton, Masami Hagiya, Ak...