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AAAI
2011
12 years 8 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
COMSUR
2011
203views Hardware» more  COMSUR 2011»
12 years 7 months ago
Overcoming Adversaries in Sensor Networks: A Survey of Theoretical Models and Algorithmic Approaches for Tolerating Malicious In
Interference is an unavoidable property of the wireless communication medium and, in sensor networks, such interference is exacerbated due to the energy-starved nature of the netw...
Maxwell Young, Raouf Boutaba
IACR
2011
123views more  IACR 2011»
12 years 7 months ago
Hummingbird: Privacy at the time of Twitter
In the last several years, micro-blogging Online Social Networks (OSNs), such as Twitter, have taken the world by storm, now boasting over 100 million subscribers. As an unparalle...
Emiliano De Cristofaro, Claudio Soriente, Gene Tsu...
ICDCS
2011
IEEE
12 years 7 months ago
Understanding the Network and User-Targeting Properties of Web Advertising Networks
—Advertising has become an integral and inseparable part of the World Wide Web. However, neither public auditing nor monitoring mechanisms still exist in this emerging area. In t...
Yong Wang, Daniel Burgener, Aleksandar Kuzmanovic,...

Publication
233views
12 years 6 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis