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AGENTS
1999
Springer
15 years 11 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
CI
2002
92views more  CI 2002»
15 years 6 months ago
Model Selection in an Information Economy: Choosing What to Learn
As online markets for the exchange of goods and services become more common, the study of markets composed at least in part of autonomous agents has taken on increasing importance...
Christopher H. Brooks, Robert S. Gazzale, Rajarshi...
EJC
2003
15 years 8 months ago
A Theory of Signs for Database Semantics
The goal of this paper is to build a bridge from a certain intuitive conception of natural language communication, called the SLIM theory of language, to a technical approach, cal...
Roland Hausser
ICML
2004
IEEE
16 years 7 months ago
Hyperplane margin classifiers on the multinomial manifold
The assumptions behind linear classifiers for categorical data are examined and reformulated in the context of the multinomial manifold, the simplex of multinomial models furnishe...
Guy Lebanon, John D. Lafferty
GBRPR
2007
Springer
16 years 1 months ago
Local Reasoning in Fuzzy Attribute Graphs for Optimizing Sequential Segmentation
Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics. Graphs are...
Geoffroy Fouquier, Jamal Atif, Isabelle Bloch