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ATAL
2011
Springer
14 years 6 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
ATVA
2011
Springer
254views Hardware» more  ATVA 2011»
14 years 6 months ago
Formal Analysis of Online Algorithms
In [AKL10], we showed how viewing online algorithms as reactive systems enables the application of ideas from formal verification to the competitive analysis of online algorithms....
Benjamin Aminof, Orna Kupferman, Robby Lampert
IACR
2011
94views more  IACR 2011»
14 years 6 months ago
Secure Computation with Sublinear Amortized Work
Traditional approaches to secure computation begin by representing the function f being computed as a circuit. For any function f that depends on each of its inputs, this implies ...
S. Dov Gordon, Jonathan Katz, Vladimir Kolesnikov,...
ICDAR
2011
IEEE
14 years 6 months ago
Symbol Recognition by Multiresolution Shape Context Matching
—We present a multiresolution scheme for symbol representation and recognition based on statistical shape features. We define a symbol as a set of shape points, each of which is...
Feng Su, Tong Lu, Ruoyu Yang

Publication
285views
15 years 10 months ago
Center of mass encoding: a self-adaptive representation with adjustable redundancy for real-valued parameters
In this paper we describe a new class of representations for realvalued parameters called Center of Mass Encoding (CoME). CoME is based on variable length strings, it is self-adap...
Claudio Mattiussi, Peter Dürr, Dario Floreano
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