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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 9 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen
KR
1989
Springer
15 years 8 months ago
Situated Control Rules
In this work we extend the work of Dean, Kaelbling, Kirman and Nicholson on planning under time constraints in stochastic domains to handle more complicated scheduling problems. I...
Mark Drummond
SIAMCO
2008
116views more  SIAMCO 2008»
15 years 4 months ago
Optimal Reflection of Diffusions and Barrier Options Pricing under Constraints
We introduce a new class of control problems in which the gain depends on the solution of a stochastic differential equation reflected at the boundary of a bounded domain, along d...
Bruno Bouchard
CDC
2010
IEEE
108views Control Systems» more  CDC 2010»
14 years 11 months ago
Optimal pursuit of moving targets using dynamic Voronoi diagrams
We consider Voronoi-like partitions for a team of moving targets distributed in the plane, such that each set in this partition is uniquely associated with a particular moving targ...
Efstathios Bakolas, Panagiotis Tsiotras
WICON
2008
15 years 5 months ago
HxH: a hop-by-hop transport protocol for multi-hop wireless networks
TCP can perform poorly in multi-hop wireless networks due to problems that arise with contention and mobility. Endto-end protocols are at an inherent disadvantage in trying to sol...
Daniel Scofield, Lei Wang, Daniel Zappala