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134
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GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 5 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
FOCS
1994
IEEE
15 years 5 months ago
Randomized and deterministic algorithms for geometric spanners of small diameter
Let S be a set of n points in IRd and let t > 1 be a real number. A t-spanner for S is a directed graph having the points of S as its vertices, such that for any pair p and q o...
Sunil Arya, David M. Mount, Michiel H. M. Smid
CP
2008
Springer
15 years 3 months ago
A Branch and Bound Algorithm for Numerical MAX-CSP
The Constraint Satisfaction Problem (CSP) framework allows users to define problems in a declarative way, quite independently from the solving process. However, when the problem i...
Jean-Marie Normand, Alexandre Goldsztejn, Marc Chr...
101
Voted
ADHOCNOW
2008
Springer
15 years 2 months ago
Optimal Gathering Algorithms in Multi-hop Radio Tree-Networks ith Interferences
We study the problem of gathering information from the nodes of a multi-hop radio network into a pre-defined destination node under the interference constraints. In such a network...
Jean-Claude Bermond, Min-Li Yu
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 2 months ago
A differential evolution algorithm for optimizing signal compression and reconstruction transforms
State-of-the-art image compression and reconstruction techniques utilize wavelets. Beginning in 2004, however, a team of researchers at Wright-Patterson Air Force Base (WPAFB), the...
Frank W. Moore, Brendan J. Babb