<--- Back to Details
First PageDocument Content
Stochastic control / Markov models / Partially observable Markov decision process / Probability and statistics / Markov chain / Markov decision process / Environmental monitoring / Bellman equation / Adaptive management / Statistics / Markov processes / Dynamic programming
Date: 2014-07-23 10:49:33
Stochastic control
Markov models
Partially observable Markov decision process
Probability and statistics
Markov chain
Markov decision process
Environmental monitoring
Bellman equation
Adaptive management
Statistics
Markov processes
Dynamic programming

Monitoring as a partially observable decision problem

Add to Reading List

Source URL: www.fs.fed.us

Download Document from Source Website

File Size: 641,29 KB

Share Document on Facebook

Similar Documents

Mathematical analysis / Mathematics / Measure theory / Boolean algebra / Experiment / Sigma-algebra / Determinacy / Stochastic game / Linear temporal logic / Markov chain / Markov decision process

Quantitative Verification and Strategy Synthesis for Stochastic Games M´aria Svoreˇnov´a and Marta Kwiatkowska Abstract— Design and control of computer systems that operate in uncertain, competitive or adversarial,

DocID: 1xVYM - View Document

Mathematical analysis / Mathematics / Measure theory / Boolean algebra / Experiment / Sigma-algebra / Determinacy / Stochastic game / Linear temporal logic / Markov chain / Markov decision process

Quantitative Verification and Strategy Synthesis for Stochastic Games M´aria Svoreˇnov´a and Marta Kwiatkowska Abstract— Design and control of computer systems that operate in uncertain, competitive or adversarial,

DocID: 1xUuJ - View Document

2017 American Control Conference Sheraton Seattle Hotel May 24–26, 2017, Seattle, USA Stochastic Predictive Freeway Ramp Metering from Signal Temporal Logic Specifications

DocID: 1vrV2 - View Document

EE363 WinterLecture 10 Linear Quadratic Stochastic Control with

DocID: 1vrTL - View Document

EE266 and MS&E251: Introduction About the course Optimization Dynamical systems Stochastic control

DocID: 1vkoK - View Document