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ICML
2002
IEEE
16 years 7 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
ECML
2007
Springer
16 years 23 days ago
Graph-Based Domain Mapping for Transfer Learning in General Games
A general game player is an agent capable of taking as input a description of a game’s rules in a formal language and proceeding to play without any subsequent human input. To do...
Gregory Kuhlmann, Peter Stone
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
16 years 19 days ago
Transfer of Learning for Complex Task Domains: a Demonstration using Multiple Robots
— This paper demonstrates a learning mechanism for complex tasks. Such tasks may be inherently expensive to learn in terms of training time and/or cost of obtaining each training...
Sameer Singh, Julie A. Adams
AAAI
2010
15 years 8 months ago
A Restriction of Extended Resolution for Clause Learning SAT Solvers
Modern complete SAT solvers almost uniformly implement variations of the clause learning framework introduced by Grasp and Chaff. The success of these solvers has been theoretical...
Gilles Audemard, George Katsirelos, Laurent Simon
FLAIRS
2003
15 years 8 months ago
Improving the Representation Space through Exception-Based Learning
This paper addresses the problem of improving the representation space in a rule-based intelligent system, through exception-based learning. Such a system generally learns rules c...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu, Dori...