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CDC
2009
IEEE
130views Control Systems» more  CDC 2009»
15 years 11 months ago
Adaptation and the effort needed to adapt
— Tuning a system to an operating environment calls for experimentation, and a question that arises naturally is: how many experiments are needed to come up with a system meeting...
Sergio Bittanti, Marco C. Campi, Maria Prandini
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 11 months ago
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed
We benchmark an independent-restart-(1+1)-CMA-ES on the BBOB-2009 noisy testbed. The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions d...
Anne Auger, Nikolaus Hansen
CAIP
2001
Springer
127views Image Analysis» more  CAIP 2001»
15 years 11 months ago
An Optimization Approach for Translational Motion Estimation in Log-Polar Domain
Log-polar imaging is an important topic in space-variant active vision, and facilitates some visual tasks. Translation estimation, though essential for active tracking, is more diï...
V. Javier Traver, Filiberto Pla
ECAL
2001
Springer
15 years 11 months ago
I Like What I Know: How Recognition-Based Decisions Can Structure the Environment
Cognitive mechanisms are shaped by evolution to match their environments. But through their use, these mechanisms exert a shaping force on their surroundings as well. Here we explo...
Peter M. Todd, Simon Kirby
ICANN
2001
Springer
15 years 11 months ago
Market-Based Reinforcement Learning in Partially Observable Worlds
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber