Mannor Shie

Shie Mannor

Information about the author Shie Mannor will soon be added to the site.
Found 12 papers in total
Statistical Optimization in High Dimensions
Statistical Optimization in High Dimensions
2016
We consider optimization problems whose parameters are known only approximately, based...
Oracle-Based Robust Optimization via Online Learning
Oracle-Based Robust Optimization via Online Learning
2015
Robust optimization is a common optimization framework under uncertainty when problem...
Reinforcement Learning in Robust Markov Decision Processes
Reinforcement Learning in Robust Markov Decision Processes
2016
An important challenge in Markov decision processes (MDP) is to ensure robustness with...
Robust MDPs with k-Rectangular Uncertainty
Robust MDPs with k-Rectangular Uncertainty
2016
Markov decision processes are a common tool for modeling sequential planning problems...
A Distributional Interpretation of Robust Optimization
A Distributional Interpretation of Robust Optimization
2012
Motivated by data‐driven decision making and sampling problems, we investigate...
A Geometric Proof of Calibration
A Geometric Proof of Calibration
2010
We provide yet another proof of the existence of calibrated forecasters; it has two...
Percentile optimization for Markov decision processes with parameter uncertainty
Percentile optimization for Markov decision processes with parameter uncertainty
2010
Markov decision processes are an effective tool in modeling decision making in...
A Characterization of Box-Mengerian Matroid Ports
A Characterization of Box-Mengerian Matroid Ports
2008
Let M be a matroid on E ∪{ l }, where l ∉ E is a distinguished...
Bias and variance approximation in value function estimates
Bias and variance approximation in value function estimates
2007
We consider a finite-state, finite-action, infinite-horizon, discounted reward Markov...
On the empirical state–action frequencies in Markov decision processes under general policies
On the empirical state–action frequencies in Markov decision processes under general policies
2005
We consider the empirical state–action frequencies and the empirical reward in...
A tutorial in the cross-entropy method
A tutorial in the cross-entropy method
2005
The cross-entropy (CE) method is a new generic approach to combinatorial and...
Basis function adaptation in temporal difference reinforcement learning
Basis function adaptation in temporal difference reinforcement learning
2005
Reinforcement Learning (RL) is an approach for solving complex multi-stage decision...
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