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ILP
2007
Springer
14 years 4 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
ISLPED
2003
ACM
138views Hardware» more  ISLPED 2003»
14 years 3 months ago
An environmental energy harvesting framework for sensor networks
Energy constrained systems such as sensor networks can increase their usable lifetimes by extracting energy from their environment. However, environmental energy will typically no...
Aman Kansal, Mani B. Srivastava
AOSD
2007
ACM
14 years 2 months ago
Efficiently mining crosscutting concerns through random walks
Inspired by our past manual aspect mining experiences, this paper describes a random walk model to approximate how crosscutting concerns can be discovered in the absence of domain...
Charles Zhang, Hans-Arno Jacobsen
AICOM
2008
95views more  AICOM 2008»
13 years 10 months ago
A multilayer ontology-based hybrid recommendation model
We propose a novel hybrid recommendation model in which user preferences and item features are described in terms of semantic concepts defined in domain ontologies. The exploitati...
Iván Cantador, Alejandro Bellogín, P...
CORR
2008
Springer
189views Education» more  CORR 2008»
13 years 10 months ago
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli