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ECAL
2001
Springer
15 years 4 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
GIS
1992
ACM
15 years 3 months ago
The Geometry of Environmental Knowledge
Theoretical and empirical work on the geometry of environmental knowledge is discussed. Certain patterns of distanc.e and directional estimates collected from humans have been inte...
Daniel R. Montello
DFVLR
1987
15 years 3 months ago
Two Fundamental Issues in Multiprocessing
: This paper examines the argument for dataflow architectures in "Two Fundamental Issues in Multiprocessing[5]." We observe two key problems. First, the justification of ...
Arvind, Robert A. Iannucci
WABI
2010
Springer
141views Bioinformatics» more  WABI 2010»
14 years 10 months ago
An Experimental Study of Quartets MaxCut and Other Supertree Methods
Although many supertree methods have been developed in the last few decades, none has been shown to produce more accurate trees than the popular Matrix Representation with Parsimon...
M. Shel Swenson, Rahul Suri, C. Randal Linder, Tan...
CORR
2011
Springer
163views Education» more  CORR 2011»
14 years 6 months ago
Statistical Analysis of Link Scheduling on Long Paths
We study how the choice of packet scheduling algorithms influences end-to-end performance on long network paths. Taking a network calculus approach, we consider both deterministi...
Yashar Ghiassi-Farrokhfal, Jörg Liebeherr, Al...