157 citations · 353 across the 35 of their papers we have counts for
28 papers · 1 filter
Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs
Charles Tripp, Ross D. Shachter
We seek to learn an effective policy for a Markov Decision Process (MDP) with continuous states via Q-Learning. Given a set of basis functions over state action pairs we search for…
Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (1988)
Laveen Kanal, John Lemmer, Tod Levitt +1
This is the Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence, which was held in Minneapolis, MN, July 10-12, 1988
Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (1989)
Max Henrion, Laveen Kanal, John Lemmer +1
This is the Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence, which was held in Windsor, ON, August 18-20, 1989
Intelligent Probabilistic Inference
Ross D. Shachter
The analysis of practical probabilistic models on the computer demands a convenient representation for the available knowledge and an efficient algorithm to perform inference. An a…
DAVID: Influence Diagram Processing System for the Macintosh
Ross D. Shachter
Influence diagrams are a directed graph representation for uncertainties as probabilities. The graph distinguishes between those variables which are under the control of a decision…
A Backwards View for Assessment
Ross D. Shachter, David Heckerman
Much artificial intelligence research focuses on the problem of deducing the validity of unobservable propositions or hypotheses from observable evidence.! Many of the knowledge re…