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ATAL
2008
Springer
15 years 8 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...
PLANX
2007
15 years 8 months ago
XPath Typing Using a Modal Logic with Converse for Finite Trees
We present an algorithm to solve XPath decision problems under regular tree type constraints and show its use to statically typecheck XPath queries. To this end, we prove the deci...
Pierre Genevès, Nabil Layaïda, Alan Sc...
KCAP
2003
ACM
15 years 11 months ago
Using transformations to improve semantic matching
Many AI tasks require determining whether two knowledge representations encode the same knowledge. Solving this matching problem is hard because representations may encode the sam...
Peter Z. Yeh, Bruce W. Porter, Ken Barker
ICTAI
2000
IEEE
15 years 10 months ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
JAIR
2007
124views more  JAIR 2007»
15 years 6 months ago
Closed-Loop Learning of Visual Control Policies
In this paper we present a general, flexible framework for learning mappings from images to actions by interacting with the environment. The basic idea is to introduce a feature-...
Sébastien Jodogne, Justus H. Piater