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14. IJCAI 1995: Montréal, Québec, Canada - Adaption and Learning in Multi-Agent Systems

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Gerhard Weiß, Sandip Sen:
Adaption and Learning in Multi-Agent Systems, IJCAI'95 Workshop, Montréal, Canada, August 21, 1995, Proceedings. Lecture Notes in Computer Science 1042, Springer 1996, ISBN 3-540-60923-7

Introduction

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Gerhard Weiß:
Adaptation and Learning in Multi-Agent Systems: Some Remarks and a Bibliography. 1-21

Workshop Contributions

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Ciara Byrne, Peter Edwards:
Refinement in Agent Groups. 22-39
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David Carmel, Shaul Markovitch:
Opponent Modeling in Multi-Agent Systems. 40-52
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Laurence Glicoes, Richard Staats, Michael N. Huhns:
A Multi-Agent Environment for Department of Defense Distribution. 53-84
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Claudia V. Goldman, Jeffrey S. Rosenschein:
Mutually Supervised Learning in Multiagent Systems. 85-96
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Pan Gu, Anthony B. Maddox:
A Framework for Distributed Reinforcement Learning. 97-112
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Thomas Haynes, Sandip Sen:
Evolving Beharioral Strategies in Predators and Prey. 113-126
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Anupam Joshi:
To Learn or Not do Learn. 127-139
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Britta Lenzmann, Ipke Wachsmuth:
A User-Adaptive Interface Agency for Interaction with a Virtual Environment. 140-151
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Maja J. Mataric:
Learning in Multi-Robot Systems. 152-163
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Yishay Mor, Claudia V. Goldman, Jeffrey S. Rosenschein:
Learn Your Opponent's Strategy (in Polynominal Time)! 164-176
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Takuya Ohko, Kazuo Hiraki, Yuichiro Anzai:
Learning to Reduce Communication Cost on Task Negotiation among Multiple Autonomous Mobile Robots. 177-190
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Tuomas Sandholm, Robert H. Crites:
On Multiagent Q-Learning in a Semi-Competitive Domain. 191-205
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Sandip Sen, Mahendra Sekaran:
Using Reciprocity to Adapt to Others. 206-217
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Sandip Sen, Mahendra Sekaran:
Multiagent Coordination with Learning Classifier Systems. 218-234

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