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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 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
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 10 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
NSDI
2007
15 years 9 months ago
Mutually Controlled Routing with Independent ISPs
Abstract – We present Wiser, an Internet routing protocol that enables ISPs to jointly control routing in a way that produces efficient end-to-end paths even when they act in th...
Ratul Mahajan, David Wetherall, Thomas E. Anderson
AIA
2007
15 years 8 months ago
Minimizing leakage: What if every gate could have its individual threshold voltage?
Designers aim at fast but low-power consuming integrated circuits. Since high processing speed always comes with high energy demands, the literature provides several ways to reduc...
Ralf Salomon, Frank Sill, Dirk Timmermann
DAGSTUHL
2008
15 years 8 months ago
Uniprocessor EDF Feasibility is an Integer Problem
The research on real-time scheduling has mostly focused on the development of algorithms that allows to test whether the constraints imposed on the task execution (often expressed ...
Enrico Bini