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TSMC
2008
146views more  TSMC 2008»
14 years 11 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
AIED
2005
Springer
15 years 5 months ago
Iterative Evaluation of a Large-Scale, Intelligent Game for Language Learning
Educational content developers, including AIED developers, traditionally make a distinction between formative evaluation and summative evaluation of learning materials. Although th...
W. Lewis Johnson, Carole R. Beal
CONSTRAINTS
1998
62views more  CONSTRAINTS 1998»
14 years 11 months ago
Learning Game-Specific Spatially-Oriented Heuristics
This paper describes an architecture that begins with enough general knowledge to play any board game as a novice, and then shifts its decision-making emphasis to learned, game-sp...
Susan L. Epstein, Jack Gelfand, Esther Lock
DIMEA
2008
164views Multimedia» more  DIMEA 2008»
15 years 1 months ago
Lessons learned: game design for large public displays
This paper presents the design and deployment of Polar Defence, an interactive game for a large public display. We designed this display based on a model of "users" and ...
Matthias Finke, Anthony Tang, Rock Leung, Michael ...
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
14 years 6 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...