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» Memory Design for Constrained Dynamic Optimization Problems
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ATAL
2005
Springer
15 years 3 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
INFOCOM
2010
IEEE
14 years 8 months ago
Reliable Adaptive Multipath Provisioning with Bandwidth and Differential Delay Constraints
Abstract— Robustness and reliability are critical issues in network management. To provide resiliency, a popular protection scheme against network failures is the simultaneous ro...
Weiyi Zhang, Jian Tang, Chonggang Wang, Shanaka de...
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
15 years 9 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
AUTOMATICA
2007
238views more  AUTOMATICA 2007»
14 years 9 months ago
Fundamental limit of discrete-time systems in tracking multi-tone sinusoidal signals
This paper studies the tracking performance of linear time-invariant multi-variable discrete-time systems. The specific problem under consideration is to track a multi-tone sinus...
Weizhou Su, Li Qiu, Jie Chen
MOBISYS
2010
ACM
14 years 11 months ago
MAUI: making smartphones last longer with code offload
This paper presents MAUI, a system that enables fine-grained energy-aware offload of mobile code to the infrastructure. Previous approaches to these problems either relied heavily...
Eduardo Cuervo, Aruna Balasubramanian, Dae-ki Cho,...