Home | Publications | CS Home

Publications Related to: Exploration

By Shaul Markovitch

  1. David Carmel and Shaul Markovitch. Exploration Strategies for Model-based Learning in Multiagent Systems. Autonomous Agents and Multi-agent Systems, 2:141-172 1999.[abstract][pdf]
  2. David Carmel and Shaul Markovitch. How to explore your opponent's strategy (almost) optimally. In Proceedings of the Third International Conference on Multi-Agent Systems, 64-71 Paris, France, 1998.[abstract][pdf]
  3. David Carmel and Shaul Markovitch. Exploration and Adaptation in Multiagent Systems: A Model-Based Approach. In Proceedings of The Fifteenth International Joint Conference for Artificial Intelligence, 606-611 Nagoya, Japan, 1997.[abstract][pdf]
  4. Paul Scott and Shaul Markovitch. Experience Selection and Problem Choice in an Exploratory Learning System. Machine Learning, 12:49-67 1993.[abstract][pdf]
  5. Paul Scott and Shaul Markovitch. Representation Generation in An Exploratory Learning System. In D. Fisher and M. Pazzani, Editors, Concept Formation: Knowledge and Experience in Unsupervised Learning. Morgan Kaufmann, 1991.[abstract][pdf]
  6. Paul Scott and Shaul Markovitch. Uncertainty Based Selection of Learning Experiences. In Proceedings of The Sixth International Workshop on Machine Learning, 358-361 Ithaca, New York, 1989.Morgan Kaufmann[abstract][pdf]
  7. Paul Scott and Shaul Markovitch. Learning Novel Domains Through Curiosity and Conjecture. In Proceedings of International Joint Conference for Artificial Intelligence, 669-674 Detroit, Michigan, 1989.[abstract][pdf]