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ECML
2003
Springer
14 years 2 months ago
Self-evaluated Learning Agent in Multiple State Games
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Koichi Moriyama, Masayuki Numao
HAPTICS
2010
IEEE
14 years 1 months ago
The Core Skills Trainer: A Set of Haptic Games for Practicing Key Clinical Skills
Abstract. A new approach to teaching the skills used by health professionals during hands-on (palpation-based) examinations and procedures is reported, where students practice indi...
Sarah Baillie, Neil Forrest, Tierney Kinnison
CONCUR
2008
Springer
13 years 11 months ago
Strategy Construction for Parity Games with Imperfect Information
We consider imperfect-information parity games in which strategies rely on observations that provide imperfect information about the history of a play. To solve such games, i.e., t...
Dietmar Berwanger, Krishnendu Chatterjee, Laurent ...
AAAI
2010
13 years 10 months ago
Understanding the Success of Perfect Information Monte Carlo Sampling in Game Tree Search
Perfect Information Monte Carlo (PIMC) search is a practical technique for playing imperfect information games that are too large to be optimally solved. Although PIMC search has ...
Jeffrey Richard Long, Nathan R. Sturtevant, Michae...
EMNLP
2008
13 years 10 months ago
Online Word Games for Semantic Data Collection
Obtaining labeled data is a significant obstacle for many NLP tasks. Recently, online games have been proposed as a new way of obtaining labeled data; games attract users by being...
David Vickrey, Aaron Bronzan, William Choi, Aman K...