<--- Back to Details
First PageDocument Content
Operations research / Markov decision process / Robust optimization / Dynamic programming / Variance / Interior point method / Determining the number of clusters in a data set / Statistics / Mathematical optimization / Mathematical sciences
Date: 2012-06-07 13:20:18
Operations research
Markov decision process
Robust optimization
Dynamic programming
Variance
Interior point method
Determining the number of clusters in a data set
Statistics
Mathematical optimization
Mathematical sciences

Policy Gradients with Variance Related Risk Criteria

Add to Reading List

Source URL: icml.cc

Download Document from Source Website

File Size: 482,44 KB

Share Document on Facebook

Similar Documents

Economy / Statistical theory / Time series models / Probability and statistics / Machine learning / Alternative currencies / Cryptocurrencies / Digital currencies / BoxJenkins method / Forecasting / Bitcoin / Cross-validation

Trading Bitcoin and Online Time Series Prediction Muhammad J Amjad Operations Research Center

DocID: 1xVYr - View Document

Economy / Business / Supply chain management / Merchandising / Inventory optimization / Logistics / Lean manufacturing / Inventory / Retail / Warehouse / Operations management / Online shopping

Order Fulfillment in Online Retailing: What Goes Where by Ping Josephine Xu M.S. Operations Research

DocID: 1xVON - View Document

Data management / Computing / Information / Data / Database / Big data / Open data

The NYU Administrative Data Research Facility (ADRF) The data revolution is transforming how executives manage operations and businesses deliver goods and services. Yet when it comes to communities and the government ag

DocID: 1xTFQ - View Document

V ORträge zum Operations Research Kolloquium des Instituts für Operations Research Zeit: Donnerstag, 16. April 2015, 17:30 Uhr

DocID: 1vsb3 - View Document

V ORträge zum Operations Research Kolloquium des Instituts für Operations Research Zeit: Donnerstag, 22. Juni 2017, 17:30 Uhr

DocID: 1vomF - View Document