PPT-Criticizing solutions to Relaxed Models Yields Powerful Admissible Heuristics

Sean Doherty Mingxiang Zhu First Off Branchandbound Necessity No applicablediscovered exact polynomial time solution Admissibility Heuristic function underestimates actual costs Monotonicity. This lecture topic. Read Chapter 3.5-3.7. Next lecture topic. Read Chapter 4.1-4.2. (Please read lecture topic material . before. and . after each lecture on that topic). You will be expected to know. Idea: give the algorithm “hints” about the desirability of different states . Use an . evaluation function. . to rank nodes and select the most promising one for expansion. Greedy best-first search. Initialize. . the . frontier . using the . starting state. While the frontier is not empty. Choose a frontier node to expand according to . search strategy . and take it off the frontier. If the node contains the . In this photo the models smile is more reserved and not quite as full blown, this makes him look more attractive for a young boy and also shows that he is well behaved. Again his looking directly into the lens is to show that he is quietly confident and invite the reader in to find out more. His pose is quite relaxed to show the stress free life that children should have at that age. . Macroprogramming. Systems. Presented by: S. M. . Shahriar. . Nirjon. Timothy W.. . Hnat. and . Kamin. Whitehouse. hnat@cs.virginia.edu, WHITEHOUSE@cs.virginia.edu . Motivation. Synchronization Problems. Michael Carbin. Deokhwan. Kim, . Sasa. . Misailovic. , and Martin C. . Rinard. Approximate Computing. Media Processing, Machine Learning, Search. Solution Space: Accuracy versus Cost. Accuracy. Time/. Initialize. . the . frontier . using the . starting state. While the frontier is not empty. Choose a frontier node to expand according to . search strategy . and take it off the frontier. If the node contains the . William Lam. Final Defense. March 16, 2017. Committee:. Rina . Dechter. Alexander . Ihler. Sameer Singh. Collaborators: Rina . Dechter. Kalev. . Kask. Javier . Larrosa. Alexander . Ihler. Thesis Contributions. Determination . I. Fall . 2015. Professor Brandon A. Jones. Lecture 37: Solution Characterization and IOD. Homework 11 due on Friday. Lecture quiz due by 5pm on Friday. Exam 3 Posted On Friday. In-class Students: Due December 11 by 5pm. . the . frontier . using the . starting state. While the frontier is not empty. Choose a frontier node to expand according to . search strategy . and take it off the frontier. If the node contains the . . the . frontier . using the . starting state. While the frontier is not empty. Choose a frontier node to expand according to . search strategy . and take it off the frontier. If the node contains the . . the . frontier . using the . starting state. While the frontier is not empty. Choose a frontier node to expand according to . search strategy . and take it off the frontier. If the node contains the . Kenny Denmark. Jason Isenhower. Ross Roessler. Background. A* uses heuristics for efficient searching. Initially, heuristics provided by "expert". Challenge is to have program create heuristics. Informed Search. Instructor: Jan-Willem van de Meent. [Adapted from slides by Dan Klein and Pieter Abbeel for CS188 Intro to AI at UC Berkeley (. ai.berkeley.edu. ).]. Announcements. Homework 1:. Search (lead TA: Iris).