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Publications Related to: Adversary Search

By Shaul Markovitch

  1. Asaf Amit and Shaul Markovitch. Learning to Bid in Bridge. Machine Learning, 63:287-327, 2006. [pdf][abstract]
  2. Shaul Markovitch and Ronit Reger. Learning and Exploiting Relative Weaknesses of Opponent Agents. Autonomous Agents and Multi-agent Systems, 10:103-130, 2005. [pdf][abstract]
  3. David Carmel and Shaul Markovitch. Pruning Algorithms for Multi-Model Adversary Search. Artificial Intelligence, 99:325-355, 1998. [pdf][abstract]
  4. Lev Finkelstein and Shaul Markovitch. Learning to Play Chess Selectively by Acquiring Move Patterns. ICCA Journal, 21:100-119, 1998. [pdf][abstract]
  5. Shaul Markovitch and Yaron Sella. Learning of Resource Allocation Strategies for Game Playing. Computational Intelligence, 1996. [pdf][abstract]
  6. David Carmel and Shaul Markovitch. Learning and Using Opponent Models in Adversary Search. Technical Report CIS9609, Technion, 1996. [pdf][abstract]
  7. David Carmel and Shaul Markovitch. Incorporating Opponent Models into Adversary Search. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, pages 120-125, Portland, Oregon, 1996. [pdf][abstract]
  8. David Carmel and Shaul Markovitch. The M* Algorithm: Incorporating Opponent Models Into Adversary Search. Technical Report CIS9402, Computer Science Department, Technion, 1994. [pdf][abstract]
  9. Shaul Markovitch and Yaron Sella. Learning of Resource Allocation Strategies for game Playing. In Proceedings of The Thirteenth International Joint Conference for Artificial Intelligence, pages 974-979, Chambery, France, 1993. [pdf][abstract]
  10. David Carmel and Shaul Markovitch. Learning Models of the Opponent's Strategy in Game Playing. In Proceedings of The AAAI Fall Symposium on Games: Planing and Learning, pages 140-147, North Carolina, 1993. [pdf][abstract]
  11. David Lorenz and Shaul Markovitch. Derivative Evaluation Function Learning Using Genetic Operators. In Proceedings of The AAAI Fall Symposium on Games: Planing and Learning, pages 106-114, New Carolina, 1993. [pdf][abstract]
  12. Reuven A. Hasson, Shaul Markovitch and Yaron Sella. Using Filters to Improve Efficiency of Game-playing Learning Procedures. In Proceedings of Eleventh International Conference of the Chilean Computer Science Society, pages 125-137, Santiago, Chile, 1991. [pdf][abstract]