'Optimal action' diaporamas de présentation

505 views • 42 slides

556 views • 38 slides

387 views • 38 slides

AM 121: Intro to Optimization Models and Methods

AM 121: Intro to Optimization Models and Methods. Lecture 2: Intro to LP, Linear algebra review. Lecture 1: Course Overview. Ozlem Ergun SEAS/Georgia Tech. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A.

620 views • 36 slides

Optimal Adaptation in Web Processes with Coordination Constraints

Optimal Adaptation in Web Processes with Coordination Constraints. Kunal Verma, Prashant Doshi , Karthik Gomadam, John A. Miller, Amit P. Sheth LSDIS Lab, Dept of Computer Science, University of Georgia. Outline. Motivation Process Adaptation Empirical Evaluation

405 views • 32 slides

Object Focused Q-learning for Autonomous Agents

Object Focused Q-learning for Autonomous Agents. M. Onur canci. What is of-q learning. Object Focused Q-learning (OF-Q), a novel re- inforcement learning algorithm that can o ff er exponential speed-ups over classic Q-learning on domains composed of independent objects .

380 views • 24 slides

Learning to Play Blackjack

Learning to Play Blackjack. Thomas Boyett Presentation for CAP 4630 Teacher: Dr. Eggen. Objective. Specifying the Task Environment. Can be considered the problem that a rational agent is the solution too. Designing a good solution always includes gaining an in depth

318 views • 23 slides

Learning to Play Blackjack

Learning to Play Blackjack. Thomas Boyett Presentation for CAP 4630 Teacher: Dr. Eggen. Objective. Specifying the Task Environment. Can be considered the problem that a rational agent is the solution too. Designing a good solution always includes gaining an in depth

321 views • 23 slides

Driving Assist System for Ecological Driving Using Model Predictive Control

SICE 9 th Annual Conference on Control System. Driving Assist System for Ecological Driving Using Model Predictive Control. Presented by ? M.A.S. Kamal - Fukuoka IST Co-Authors ? Maskazu Mukai - Kyushu University Junichi Murata - Kyushu University Taketoshi Kawabe - Kyushu University.

331 views • 21 slides

Optimal Learning & Bayes -Adaptive MDPs

344 views • 21 slides

Hidden Markov Model Multiarm Bandits: A Methodology for Beam Scheduling in Multitarget Tracking

Hidden Markov Model Multiarm Bandits: A Methodology for Beam Scheduling in Multitarget Tracking. Authors: Vikram Krishnamurthy & Robin Evans. Presented by Shihao Ji Duke University Machine Learning Group June 10, 2005. Outline. Motivation Overview Multiarmed Bandits HMM Multiarmed Bandits

308 views • 15 slides