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» Efficient learning algorithms for changing environments
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AAMAS
2006
Springer
15 years 4 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
CGI
2004
IEEE
15 years 7 months ago
Exploiting Temporal Coherence in Final Gathering for Dynamic Scenes
Efficient global illumination computation in dynamically changing environments is an important practical problem. In high-quality animation rendering costly "final gathering&...
Takehiro Tawara, Karol Myszkowski, Hans-Peter Seid...
ICC
2011
IEEE
189views Communications» more  ICC 2011»
14 years 3 months ago
Joint Cyclostationarity-Based Detection and Classification of Mobile WiMAX and LTE OFDM Signals
—Spectrum awareness is one of the most challenging requirements in cognitive radio (CR). To adequately adapt to the changing radio environment, it is necessary for the CR to be a...
Ala'a Al-Habashna, Octavia A. Dobre, Ramachandran ...
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
15 years 8 months ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...
133
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IPSN
2010
Springer
15 years 11 months ago
Distributed genetic evolution in WSN
Wireless Sensor Actuator Networks (WSANs) extend wireless sensor networks through actuation capability. Designing robust logic for WSANs however is challenging since nodes can aï¬...
Philip Valencia, Peter Lindsay, Raja Jurdak