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» Learning executable agent behaviors from observation
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GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 8 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
ATAL
2011
Springer
14 years 4 months ago
ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison
In creating an evacuation simulation for training and planning, realistic agents that reproduce known phenomenon are required. Evacuation simulation in the airport domain requires...
Jason Tsai, Natalie Fridman, Emma Bowring, Matthew...
ATAL
2011
Springer
14 years 4 months ago
Game theory-based opponent modeling in large imperfect-information games
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Sam Ganzfried, Tuomas Sandholm
AAAI
1994
15 years 5 months ago
High Dimension Action Spaces in Robot Skill Learning
Table lookup with interpolation is used for many learning and adaptation tasks. Redundant mappings capture the important concept of \motor skill," which is important in real,...
Jeff G. Schneider
CCGRID
2008
IEEE
15 years 6 months ago
A Probabilistic Model to Analyse Workflow Performance on Production Grids
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Tristan Glatard, Johan Montagnat, Xavier Pennec