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GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 10 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 10 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 8 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...
ADHOCNOW
2008
Springer
15 years 7 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 7 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