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AAAI
1996
15 years 9 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
AAAI
1996
15 years 9 months ago
Total-Order Multi-Agent Task-Network Planning for Contract Bridge
This paper describes the results of applying a modified version of hierarchical task-network (HTN) planning to the problem of declarer play in contract bridge. We represent inform...
Stephen J. J. Smith, Dana S. Nau, Thomas A. Throop
NIPS
1992
15 years 8 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
AIPS
2009
15 years 8 months ago
Preferred Operators and Deferred Evaluation in Satisficing Planning
Heuristic forward search is the dominant approach to satisficing planning to date. Most successful planning systems, however, go beyond plain heuristic search by employing various...
Silvia Richter, Malte Helmert
COMAD
2009
15 years 8 months ago
When to Trigger Active Rules?
Active rules model and enforce enterprise requirements such as situation monitoring using events, conditions and actions. These rules are termed active rules as they make the unde...
Raman Adaikkalavan, Sharma Chakravarthy