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» Controlling Engineering Problem Solving
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147
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AAAI
2012
13 years 4 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
110
Voted
DAC
2001
ACM
16 years 3 months ago
Performance-Driven Multi-Level Clustering with Application to Hierarchical FPGA Mapping
In this paper, we study the problem of performance-driven multi-level circuit clustering with application to hierarchical FPGA designs. We first show that the performance-driven m...
Jason Cong, Michail Romesis
95
Voted
ATAL
2009
Springer
15 years 8 months ago
Stigmergic reasoning over hierarchical task networks
Stigmergy is usually associated with semantically simple problems such as routing. It can be applied to more complex problems by encoding them in the environment through which sti...
H. Van Dyke Parunak, Theodore C. Belding, Robert B...
DATE
2008
IEEE
134views Hardware» more  DATE 2008»
15 years 8 months ago
Adaptive Filesystem Compression for Embedded Systems
Abstract—Embedded system secondary storage size is often constrained, yet storage demands are growing as a result of increasing application complexity and storage of personal dat...
Lan S. Bai, Haris Lekatsas, Robert P. Dick
127
Voted
ECRTS
2008
IEEE
15 years 8 months ago
Period and Deadline Selection for Schedulability in Real-Time Systems
Task period adaptations are often used to alleviate temporal overload conditions in real-time systems. Existing frameworks assume that only task periods are adjustable and that ta...
Thidapat Chantem, Xiaofeng Wang, Michael D. Lemmon...