Incentive Mistakes
Learning theories And instructional design Norbert Boruett.
CMSC 471 Spring 2014 Class #14 Tuesday, March 25, 2014 Machine Learning I: Decision Trees Professor Marie desJardins, [email protected].
1 On Choosing An Efficient Service Selection Mechanism In Dynamic Environments by Murat Sensoy & Pinar Yolum Bogazici University, Istanbul,Turkey.
Vsgames2010 v3
1 Planning under Uncertainty. Today’s Topics Sequential Decision Problems Markov Decision Process (MDP) Value Iteration Policy Iteration Partially Observable.
1 CMSC 671 Fall 2005 Class #20 –Tuesday, November 8.
1 What is learning? “Learning denotes changes in a system that... enable a system to do the same task more efficiently the next time.” –Herbert Simon “Learning.
Machine Learning: Decision Trees
31.10.20051 Soft Computing Lecture 13 Reinforcement learning.
CMSC 471 Fall 2011 Class #20 Tuesday, November 8, 2011 Machine Learning I Professor Marie desJardins, [email protected].
1 Machine Learning Chapter 18.1-18.3, 19.1, skim 20.4-20.5 CMSC 471 Adapted from slides by Tim Finin and Marie desJardins. Some material adopted from notes.
