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» Computing Special Values of Partial Zeta Functions
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79
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JSAC
2006
102views more  JSAC 2006»
14 years 9 months ago
A deterministic frequency-domain model for the indoor power line transfer function
The characterization of the transfer function of the power line (PL) channel is a nontrivial task that requires a truly interdisciplinary approach. Until recently, a common attribu...
S. Galli, Thomas C. Banwell
AAAI
2006
14 years 11 months ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
61
Voted
ENTCS
2010
77views more  ENTCS 2010»
14 years 9 months ago
Transparent First-class Futures and Distributed Components
Futures are special kind of values that allow the synchronisation of different processes. Futures are in fact identifiers for promised results of function calls that are still awa...
Antonio Cansado, Ludovic Henrio, Eric Madelaine
COCO
2007
Springer
85views Algorithms» more  COCO 2007»
15 years 3 months ago
Norms, XOR Lemmas, and Lower Bounds for GF(2) Polynomials and Multiparty Protocols
This paper presents a unified and simple treatment of basic questions concerning two computational models: multiparty communication complexity and GF(2) polynomials. The key is t...
Emanuele Viola, Avi Wigderson
78
Voted
NIPS
2001
14 years 11 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...