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ICML
1994
IEEE
13 years 11 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
ECML
2006
Springer
13 years 11 months ago
Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning
Abstract. Over the last twenty years AI has undergone a sea change. The oncedominant paradigm of logical inference over symbolic knowledge representations has largely been supplant...
Gerald DeJong
FORMATS
2005
Springer
14 years 1 months ago
Time Supervision of Concurrent Systems Using Symbolic Unfoldings of Time Petri Nets
Monitoring real-time concurrent systems is a challenging task. In this paper we formulate (model-based) supervision by means of hidden state history reconstruction, from event (e.g...
Thomas Chatain, Claude Jard
ICML
1999
IEEE
13 years 11 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
DICTA
2003
13 years 8 months ago
Towards Closed Form Solutions to the MultiView Constraints of Curves and Surfaces
In this paper we present the theoretical setting for the closed form solutions to the multiview constraints of curves and surfaces observed by the motion of a camera in a scene. We...
David N. R. McKinnon, Brian C. Lovell