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» Learning to Solve QBF
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ICANN
2007
Springer
14 years 1 months ago
Solving Deep Memory POMDPs with Recurrent Policy Gradients
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
Daan Wierstra, Alexander Förster, Jan Peters,...
ICIAR
2007
Springer
14 years 1 months ago
Solving the Inverse Problem of Image Zooming Using "Self-Examples"
Abstract. In this paper we present a novel single-frame image zooming technique based on so-called “self-examples”. Our method combines the ideas of fractal-based image zooming...
Mehran Ebrahimi, Edward R. Vrscay
AAAI
1997
13 years 9 months ago
Using CSP Look-Back Techniques to Solve Real-World SAT Instances
We report on the performance of an enhanced version of the “Davis-Putnam” (DP) proof procedure for propositional satisfiability (SAT) on large instances derived from realworld...
Roberto J. Bayardo Jr., Robert Schrag

Publication
233views
12 years 6 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
JCIT
2010
127views more  JCIT 2010»
13 years 2 months ago
Review of PSE (Problem Solving Environment) Study
This review paper presents an overview of the current state of the art in Problem Solving Environments (PSE). PSE provides integrated human-friendly innovative computational servi...
Shigeo Kawata