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ICANN
2007
Springer
15 years 10 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
15 years 10 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
IPPS
2000
IEEE
15 years 8 months ago
Solving Problems on Parallel Computers by Cellular Programming
Cellular automata can be used to design high-performance natural solvers on parallel computers. This paper describes the development of applications using CARPET, a high-level prog...
Domenico Talia
JUCS
2008
159views more  JUCS 2008»
15 years 3 months ago
Two Step Swarm Intelligence to Solve the Feature Selection Problem
: In this paper we propose a new approach to Swarm Intelligence called Two-Step Swarm Intelligence. The basic idea is to split the heuristic search performed by agents into two sta...
Yudel Gómez, Rafael Bello, Amilkar Puris, M...
EOR
2007
70views more  EOR 2007»
15 years 3 months ago
Solving the maximum edge weight clique problem via unconstrained quadratic programming
The unconstrained quadratic binary program (UQP) is proving to be a successful modeling and solution framework for a variety of combinatorial optimization problems. Experience rep...
Bahram Alidaee, Fred Glover, Gary A. Kochenberger,...