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NIPS
1998
15 years 3 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
ML
2007
ACM
104views Machine Learning» more  ML 2007»
15 years 2 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
106
Voted
ECML
2007
Springer
15 years 8 months 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
DBA
2006
143views Database» more  DBA 2006»
15 years 3 months ago
Automated Generalization of Fuzzy Concept Hierarchies for Attribute-Oriented Induction Purposes
This paper presents an approach to produce generalization candidates for a concept hierarchy without the necessity of being an expert in the domain to be generalized and ...
Jacob Dolan, Rafal A. Angryk
147
Voted
ICIP
2010
IEEE
15 years 14 days ago
Tensor-based image diffusions derived from generalizations of the Total Variation and Beltrami Functionals
We introduce a novel functional for vector-valued images that generalizes several variational methods, such as the Total Variation and Beltrami Functionals. This functional is bas...
Anastasios Roussos, Petros Maragos