Sciweavers

1310 search results - page 39 / 262
» Progressive Optimization in Action
Sort
View
AAMAS
2007
Springer
15 years 2 months ago
Reaching pareto-optimality in prisoner's dilemma using conditional joint action learning
We consider a repeated Prisoner’s Dilemma game where two independent learning agents play against each other. We assume that the players can observe each others’ action but ar...
Dipyaman Banerjee, Sandip Sen
137
Voted
AAAI
2011
14 years 1 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
CVPR
2009
IEEE
16 years 9 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
ECCV
2008
Springer
16 years 3 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
MC
2008
137views Computer Science» more  MC 2008»
15 years 3 months ago
The impact of gain change on perceiving one's own actions
Tool use often challenges the human motor system, especially when these tools require sensorimotor transformations. We report an experiment using a digitizer tablet, in which diff...
Christine Sutter, Jochen Müsseler, Laszlo Bar...