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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 11 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
EC
2007
167views ECommerce» more  EC 2007»
13 years 7 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
PPSN
2010
Springer
13 years 6 months ago
Negative Drift in Populations
An important step in gaining a better understanding of the stochastic dynamics of evolving populations, is the development of appropriate analytical tools. We present a new drift t...
Per Kristian Lehre
JSA
2007
162views more  JSA 2007»
13 years 7 months ago
Exploration of distributed shared memory architectures for NoC-based multiprocessors
Multiprocessor system-on-chip (MP-SoC) platforms represent an emerging trend for embedded multimedia applications. To enable MP-SoC platforms, scalable communication-centric inter...
Matteo Monchiero, Gianluca Palermo, Cristina Silva...
CEC
2008
IEEE
14 years 2 months ago
Analysis of reproduction operator in Bacterial Foraging Optimization Algorithm
— One of the major driving forces of Bacterial Foraging Optimization Algorithm (BFOA) is the reproduction phenomenon of virtual bacteria each of which models one trial solution o...
Ajith Abraham, Arijit Biswas, Sambarta Dasgupta, S...