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ICML
2003
IEEE
15 years 9 months ago
The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...
Clifford Kotnik, Jugal K. Kalita
NEUROSCIENCE
2001
Springer
15 years 8 months ago
Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
Joanna Bryson, Lynn Andrea Stein
AI
2004
Springer
15 years 9 months ago
On Customizing Evolutionary Learning of Agent Behavior
The fitness function of an evolutionary algorithm is one of the few possible spots where application knowledge can be made available to the algorithm. But the representation and u...
Jörg Denzinger, Alvin Schur
CW
2004
IEEE
15 years 7 months ago
An Interactive Agent-Based Learning Environment for Children
This paper presents an educational distributed virtual reality-based environment for children called EVE - Environnement Virtuel pour Enfants. EVE is used in elementary schools fr...
Dorin Mircea Popovici, Cédric Buche, Ronan ...
KDD
1997
ACM
184views Data Mining» more  KDD 1997»
15 years 8 months ago
JAM: Java Agents for Meta-Learning over Distributed Databases
In this paper, we describe the JAM system, a distributed, scalable and portable agent-based data mining system that employs a general approach to scaling data mining applications ...
Salvatore J. Stolfo, Andreas L. Prodromidis, Shell...