Production technologies in stochastic continuous time models

Source URL: www.waelde.com

• Equations
• Economics
• Mathematical optimization
• Operations research
• Dynamic programming
• Stochastic calculus
• Mathematical analysis
• Bellman equation
• Differential equation
• Economic model
• Stochastic differential equation
• SolowSwan model

mTunes: Efficient Post-Silicon Tuning of Mixed-Signal/RF Integrated Circuits Based on Markov Decision Process Manzil Zaheer and Fa Wang Chenjie Gu

Source URL: manzil.ml

• Markov models
• Markov processes
• Probability theory
• Applied mathematics
• Statistics
• Receiver
• Dynamic programming
• Markov decision process
• Stochastic control
• Tuner
• Artificial neural network
• Tuning

A Multiple Objective View on Robust Optimization and Stochastic Programming Kathrin Klamroth Department of Mathematics and Natural Sciences University of Wuppertal, Germany Many real world optimization problems are conta

Source URL: grk1855.tu-dortmund.de

• Mathematical optimization
• Operations research
• Mathematical analysis
• Software
• Numerical analysis
• Stochastic programming
• Robust optimization
• Stochastic
• Stochastic optimization
• Extended Mathematical Programming

multi-bandit_techreport.dvi

Source URL: victorgabillon.nfshost.com

• Machine learning
• Multi-armed bandit
• Stochastic optimization
• Markov models
• Active learning
• Dynamic programming
• Reinforcement learning
• Variance

Linear Programming for Large-Scale Markov Decision Problems Yasin Abbasi-Yadkori Queensland University of Technology, Brisbane, QLD, Australia 4000 Peter L. Bartlett University of California, Berkeley, CA 94720

Source URL: webdocs.cs.ualberta.ca

• Statistics
• Markov processes
• Statistical theory
• Estimation theory
• Dynamic programming
• Markov decision process
• Stochastic control
• Loss function
• Markov chain
• M-estimator
• Bearing pressure
• Jet bundle

Finite-Sample Analysis in Reinforcement Learning Mohammad Ghavamzadeh INRIA Lille – Nord Europe, Team SequeL Outline

Source URL: mistis.inrialpes.fr

• Mathematics
• Dynamic programming
• Mathematical analysis
• Stochastic control
• Discrete mathematics
• Algebra
• Distribution
• Number theory
• Markov decision process
• Prime-counting function
• Mathematical optimization
• Projection-valued measure

Optimism in Sequential Decision-Making under Uncertainty Peter Bartlett Department of Statistics and Division of Computer Science UC Berkeley

Source URL: www.stat.berkeley.edu

• Mathematical analysis
• Dynamic programming
• Markov processes
• Stochastic control
• Statistical inference
• Analysis
• Operations research
• Markov decision process
• Regret
• Distribution
• S0
• Mathematical optimization

CSStat 260, Fall 2014: Learning in Sequential Decision Problems Lectures: Evans 334. Tuesday/Thursday 2:00-3:30. Instructor: Peter Bartlett http://www.stat.berkeley.edu/∼bartlett

Source URL: www.stat.berkeley.edu

• Mathematical optimization
• Operations research
• Mathematical analysis
• Numerical analysis
• Convex optimization
• Stochastic optimization
• Multi-armed bandit
• Game theory
• Linear programming
• AMPL

Stochastic Programming in Transportation and Logistics Warren B. Powell and Huseyin Topaloglu Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544

Source URL: adp.princeton.edu

Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Recall: MDPs. 2. Value iteration. 3. Policy iteration.

Source URL: www.stat.berkeley.edu

• Markov processes
• Mathematics
• Probability theory
• Mathematical analysis
• Dynamic programming
• Markov decision process
• Stochastic control
• Markov chain
• Mathematical optimization
• Distribution