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» Observation Can Be as Effective as Action in Problem Solving
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AIED
2009
Springer
16 years 1 months ago
Scaffolding Motivation and Metacognition in Learning Programming
This paper explores the role that feedback based on past actions and motivational states of the learner can have in a motivationally and metacognitively aware Intelligent Tutoring ...
Alison Hull, Benedict du Boulay
ATVA
2006
Springer
112views Hardware» more  ATVA 2006»
15 years 10 months ago
Synthesis for Probabilistic Environments
In synthesis we construct finite state systems from temporal specifications. While this problem is well understood in the classical setting of non-probabilistic synthesis, this pap...
Sven Schewe
IAT
2005
IEEE
16 years 2 days ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
15 years 8 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
ATAL
2004
Springer
15 years 12 months ago
Communication for Improving Policy Computation in Distributed POMDPs
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
Ranjit Nair, Milind Tambe, Maayan Roth, Makoto Yok...