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AAMAS
2002
Springer
15 years 5 months ago
Relational Reinforcement Learning for Agents in Worlds with Objects
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Saso Dzeroski
FLAIRS
2008
15 years 8 months ago
Causal Reasoning with Contexts Using Dependent Types
In Artificial Intelligence, a crucial requirement is the ability to reason about actions and their effects on the environment. Traditional approaches which rely on classical logic...
Richard Dapoigny, Patrick Barlatier
HCI
2007
15 years 7 months ago
Inhabitant Guidance of Smart Environments
Abstract. With the convergence of technologies in artificial intelligence, humancomputer interfaces, and pervasive computing, the idea of a “smart environment” is becoming a re...
Parisa Rashidi, G. Michael Youngblood, Diane J. Co...
IADIS
2003
15 years 7 months ago
An Authoring Environment for E-Learning
In recent years the increasing use of the WWW in learning environments has enabled the development of different systems for distributing and producing web-based courses. In such s...
Teresa Roselli, Paola Plantamura, Mary Victoria Pr...
ITS
1998
Springer
95views Multimedia» more  ITS 1998»
15 years 10 months ago
Using Induction to Generate Feedback in Simulation Based Discovery Learning Environments
This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with a...
Koen Veermans, Wouter R. van Joolingen