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ICML
1998
IEEE
16 years 7 months ago
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
Junling Hu, Michael P. Wellman
ICASSP
2009
IEEE
16 years 1 months ago
Functional estimation in Hilbert space for distributed learning in wireless sensor networks
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
Paul Honeine, Cédric Richard, José C...
ILP
2004
Springer
15 years 11 months ago
On the Effect of Caching in Recursive Theory Learning
This paper focuses on inductive learning of recursive logical theories from a set of examples. This is a complex task where the learning of one predicate definition should be inter...
Margherita Berardi, Antonio Varlaro, Donato Malerb...
IADIS
2004
15 years 7 months ago
Erroneous Examples as a Source of Learning in Mathematics
We analyze why and how erroneous examples can be beneficially employed in learning mathematics. The `Why' addresses reasoning and attitudes that are rarely fostered in today&...
Erica Melis
FLAIRS
1998
15 years 7 months ago
Lazy Transformation-Based Learning
Weintroduce a significant improvementfor a relatively newmachine learning methodcalled Transformation-Based Learning. By applying a MonteCarlo strategy to randomly sample from the...
Ken Samuel