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ML
2007
ACM
104views Machine Learning» more  ML 2007»
13 years 8 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
AIIDE
2007
13 years 11 months ago
Learning a Table Soccer Robot a New Action Sequence by Observing and Imitating
Star-Kick is a commercially available and fully automatic table soccer (foosball) robot, which plays table soccer games against human players on a competitive level. One of our re...
Dapeng Zhang 0002, Bernhard Nebel
ECTEL
2009
Springer
13 years 6 months ago
Experience Structuring Factors Affecting Learning in Family Visits to Museums
Abstract. This paper describes the design and evaluation of an adaptive museum guide for families. In the Kurio system, a mixture of embedded and tangible technology imbues the mus...
Marek Hatala, Karen Tanenbaum, Ron Wakkary, Kevin ...
DIGITEL
2007
IEEE
14 years 3 months ago
MuDiS - A Virtual Learning Environment
This paper presents a multi-component; distributed system (MuDiS) based solution for building a virtual learning environment which combines a wide range of technology, tools and d...
Jeetinder Singh, Jayanthi Sivaswamy, Krishnarajulu...
AAAI
2010
13 years 10 months ago
Multi-Agent Learning with Policy Prediction
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
Chongjie Zhang, Victor R. Lesser