2011
NIPS
NeurIPS 2011
Solving Decision Problems with Limited Information
Abstract
We present a new algorithm for exactly solving decision-making problems represented as an influence diagram. We do not require the usual assumptions of no forgetting and regularity, which allows us to solve problems with limited information. The algorithm, which implements a sophisticated variable elimination procedure, is empirically shown to outperform a state-of-the-art algorithm in randomly generated problems of up to 150 variables and $10^{64}$ strategies.
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Interdisciplinary Bridge
— Artificial Intelligence and Knowledge & Reasoning
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Trend Setter
— Automated Reasoning
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Keyword Pioneer
— influence diagram
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
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Hot Topic Early Bird
— decision making
Authors
Topics
Artificial Intelligence > Core AI > Planning
Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling
Knowledge & Reasoning > Reasoning > Automated Reasoning
Knowledge & Reasoning > Reasoning > Causal Inference
Machine Learning > Bayesian & Probabilistic > Bayesian Networks
Artificial Intelligence > Core AI > Decision Making