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» A New Way to Introduce Knowledge into Reinforcement Learning
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WEBNET
2000
15 years 1 months ago
Conventions for Knowledge Representation via RDF
The Resource Description Framework [RDF] provides a basic model to describe relationships between objects. Ultimately, it is intended to permit the representation, combination and ...
Philippe Martin, Peter W. Eklund
APN
2005
Springer
15 years 5 months ago
The ProM Framework: A New Era in Process Mining Tool Support
Under the umbrella of buzzwords such as “Business Activity Monitoring” (BAM) and “Business Process Intelligence” (BPI) both academic (e.g., EMiT, Little Thumb, InWoLvE, Pro...
Boudewijn F. van Dongen, Ana Karla A. de Medeiros,...
NECO
1998
168views more  NECO 1998»
14 years 11 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson
ROBOCUP
2004
Springer
147views Robotics» more  ROBOCUP 2004»
15 years 5 months ago
Learning to Drive and Simulate Autonomous Mobile Robots
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
Alexander Gloye, Cüneyt Göktekin, Anna E...
AAMAS
2006
Springer
14 years 12 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...