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ILP
2007
Springer
15 years 3 months ago
Relational Macros for Transfer in Reinforcement Learning
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...
TMC
2012
12 years 12 months ago
Trajectory-Based Statistical Forwarding for Multihop Infrastructure-to-Vehicle Data Delivery
—This paper proposes Trajectory-based Statistical Forwarding (TSF) scheme, tailored for the multihop data delivery from infrastructure nodes (e.g., Internet access points) to mov...
Jaehoon (Paul) Jeong, Shuo Guo, Yu (Jason) Gu, Tia...
ENTCS
2006
134views more  ENTCS 2006»
14 years 9 months ago
Anonymity in Probabilistic and Nondeterministic Systems
Anonymity means that the identity of the user performing a certain action is maintained secret. The protocols for ensuring anonymity often use random mechanisms which can be descr...
Catuscia Palamidessi
CORR
2008
Springer
147views Education» more  CORR 2008»
14 years 9 months ago
A Minimum Relative Entropy Principle for Learning and Acting
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Pedro A. Ortega, Daniel A. Braun
FUIN
2010
130views more  FUIN 2010»
14 years 8 months ago
SLGAD Resolution for Inference on Logic Programs with Annotated Disjunctions
Abstract. Logic Programs with Annotated Disjunctions (LPADs) allow to express probabilistic information in logic programming. The semantics of an LPAD is given in terms of the well...
Fabrizio Riguzzi