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NIPS
1993
13 years 10 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
ACS
2008
13 years 9 months ago
Algebras Versus Coalgebras
Algebras and coalgebras are fundamental notions for large parts of mathematics. The basic constructions from universal algebra are now expressed in the language of categories and ...
Robert Wisbauer
CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 9 months ago
Algorithmic Thermodynamics
Algorithmic entropy can be seen as a special case of entropy as studied in statistical mechanics. This viewpoint allows us to apply many techniques developed for use in thermodyna...
John C. Baez, Mike Stay
SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
12 years 12 months ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
TCC
2012
Springer
218views Cryptology» more  TCC 2012»
12 years 4 months ago
Iterative Constructions and Private Data Release
In this paper we study the problem of approximately releasing the cut function of a graph while preserving differential privacy, and give new algorithms (and new analyses of exis...
Anupam Gupta, Aaron Roth, Jonathan Ullman