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IJCAI
2007
13 years 10 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir
ICIP
2008
IEEE
14 years 3 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 2 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
JSAC
2006
124views more  JSAC 2006»
13 years 9 months ago
A game-theoretic approach to energy-efficient power control in multicarrier CDMA systems
A game-theoretic model for studying power control in multicarrier code-division multiple-access systems is proposed. Power control is modeled as a noncooperative game in which each...
Farhad Meshkati, Mung Chiang, H. Vincent Poor, Stu...
ATAL
2009
Springer
14 years 3 months ago
Searching for fair joint gains in agent-based negotiation
In multi-issue negotiations, autonomous agents can act cooperatively to benefit from mutually preferred agreements. However, empirical evidence suggests that they often fail to s...
Minyi Li, Quoc Bao Vo, Ryszard Kowalczyk