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IDA
2009
Springer
14 years 2 months ago
Estimating Markov Random Field Potentials for Natural Images
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
Urs Köster, Jussi T. Lindgren, Aapo Hyvä...
IJCAI
2003
13 years 9 months ago
Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr...
SAC
2005
ACM
14 years 1 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...
AIPS
2010
13 years 10 months ago
Improving Determinization in Hindsight for On-line Probabilistic Planning
Recently, `determinization in hindsight' has enjoyed surprising success in on-line probabilistic planning. This technique evaluates the actions available in the current state...
Sung Wook Yoon, Wheeler Ruml, J. Benton, Minh Do
AAAI
2007
13 years 10 months ago
Modeling Reciprocal Behavior in Human Bilateral Negotiation
Reciprocity is a key determinant of human behavior and has been well documented in the psychological and behavioral economics literature. This paper shows that reciprocity has sig...
Ya'akov Gal, Avi Pfeffer