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Learning Policies for Contextual Submodular Prediction
Learning Policies Contextual Submodular Prediction
2013/6/14
Many prediction domains, such as ad placement, recommendation, trajectory prediction, and document summarization, require predicting a set or list of options. Such lists are often evaluated using subm...
Minimax Policies for Combinatorial Prediction Games
Minimax Policies Combinatorial Prediction Games
2011/6/20
We address the online linear optimization problem when the actions of the forecaster are represented by
binary vectors. Our goal is to understand the magnitude of the minimax regret for the worst pos...
Existence of optimal policies in stochastic dynamic programing
Existence of optimal policies stochastic dynamic programing
2009/9/24
Existence of optimal policies in stochastic dynamic programing。
Optimal Policies Search for Sensor Management
Sensor(s) Management Partially Observable Markov Decision Process Stochastic Gradient Estimation AESA Radar
2010/3/19
This paper introduces a new approach to solve
sensor management problems. Classically sensor management
problems can be well formalized as Partially-Observed Markov
Decision Processes (POMPD). The ...