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» Approximate reduction of dynamic systems
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113
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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 8 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor
129
Voted
HYBRID
2009
Springer
15 years 7 months ago
Optimal Boundary Control of Convention-Reaction Transport Systems with Binary Control Functions
We investigate a new approach for solving boundary control problems for dynamical systems that are governed by transport equations, when the control function is restricted to binar...
Falk M. Hante, Günter Leugering
113
Voted
PLDI
2010
ACM
15 years 6 months ago
Green: a framework for supporting energy-conscious programming using controlled approximation
Energy-efficient computing is important in several systems ranging from embedded devices to large scale data centers. Several application domains offer the opportunity to tradeof...
Woongki Baek, Trishul M. Chilimbi
115
Voted
CODES
2010
IEEE
14 years 11 months ago
Dynamic, non-linear cache architecture for power-sensitive mobile processors
Today, mobile smartphones are expected to be able to run the same complex, algorithm-heavy, memory-intensive applications that were originally designed and coded for generalpurpos...
Garo Bournoutian, Alex Orailoglu
122
Voted
IJCSA
2007
110views more  IJCSA 2007»
15 years 29 days ago
Multiprocessor Scheduling Using Hybrid Particle Swarm Optimization with Dynamically Varying Inertia
The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. We have developed a new hybrid approximation algorithm. The...
S. N. Sivanandam, P. Visalakshi, A. Bhuvaneswari