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ICML
2006
IEEE
16 years 8 months ago
Relational temporal difference learning
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
Nima Asgharbeygi, David J. Stracuzzi, Pat Langley
ICML
2003
IEEE
16 years 8 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
WWW
2008
ACM
16 years 8 months ago
Collaborative filtering on skewed datasets
Many real life datasets have skewed distributions of events when the probability of observing few events far exceeds the others. In this paper, we observed that in skewed datasets...
Somnath Banerjee, Krishnan Ramanathan
WWW
2005
ACM
16 years 8 months ago
A language for expressing user-context preferences in the web
In this paper, we introduce WPML (WebProfiles Markup Language) for expressing user-context preferences information in the Web. Using WPML a service provider can negotiate and obta...
Diego López de Ipiña, Juan Ignacio V...
CHI
2002
ACM
16 years 8 months ago
The context fabric: an infrastructure for context-aware computing
Despite many sensor, hardware, networking, and software advances, it is still quite difficult to build effective and reliable context-aware applications. We propose to build a con...
Jason I. Hong