class: “PacmanSearchTest” algorithm: “uniformCostSearch” points: “0.5” # The following specifies the layout to be used layoutName: “mediumMaze” layout: “”” %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % P% % %%%%%%%%%%%%%%%%%%%%%%% %%%%%%%% % % %% % % %%%%%%% %% % % %% % % % % %%%% %%%%%%%%% %% %%%%% % %% % % % % %% %% % % %% % […]
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Homework #2 (Programming Set) CSE 3521/5521 Autumn 2021 Due: Thursday, September 23 by 11:59pm Due: Friday, September 24 by 11:59pm Expected time commitment: 4 – 8 hours Worth 50 points I. Preparation 1. Read/study the assigned reading sections from Chapter of AI: A Modern Approach, 3rd edition (Russell and Norvig) 2. Read/study the lecture notes
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class: “PacmanSearchTest” algorithm: “uniformCostSearch” points: “0.5” # The following specifies the layout to be used layoutName: “mediumMaze” layout: “”” %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % P% % %%%%%%%%%%%%%%%%%%%%%%% %%%%%%%% % % %% % % %%%%%%% %% % % %% % % % % %%%% %%%%%%%%% %% %%%%% % %% % % % % %% %% % % %% %
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COMP3702 Artificial Intelligence – Module 1: Search – Part 1: Blind/Uninformed Search COMP3702 Artificial Intelligence Module 1: Search – Part 1: Blind/Uninformed Search Dr Alina Bialkowski Semester 2, 2021 The University of Queensland School of Information Technology and Electrical Engineering Table of contents 1. Agent design components 2. Introduction to search problems 3. Formulating a
Homework #2 (Problem Set) CSE 3521/5521 Autumn 2021 Due: Thursday, September 23 by 11:59pm Due: Friday, September 24 by 11:59pm Worth 50 points I. Preparation 1. Read/study the assigned reading sections from Chapter of AI: A Modern Approach, 3rd edition (Russell and Norvig) 2. Read/study the lecture notes on Planning and search algorithm II. Collaboration
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Deep Learning – COSC2779 – Introduction to Deep Learning Deep Learning – COSC2779 Introduction to Deep Learning Dr. Ruwan Tennakoon Semester 2, 2021 Reference: Chapter 5: Ian Goodfellow et. al., “Deep Learning”, MIT Press, 2016. Lecture 1 (Part 2) Deep Learning – COSC2779 Semester 2, 2021 1 / 40 Outline 1 What is Deep Learning?
Deep Learning – COSC2779 – Deep Learning Hardware and software Deep Learning – COSC2779 Deep Learning Hardware and software Dr. Ruwan Tennakoon July 26, 2021 Lecture 2 (Part 2) Deep Learning – COSC2779 July 26, 2021 1 / 19 Why Now? Big Data Larger Data sets. Easier collection and storage. Computation Graphic Processing Units. Massively
PowerPoint Presentation CSE 3521: Adversarial Search [Many slides are adapted from the UC Berkeley. CS188 Intro to AI at UC Berkeley and previous CSE 3521 course at OSU.] Game tree pruning Ignore portions of search tree that make no difference to final choice Minimax example 12 8 5 2 3 2 14 4 6 3
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PowerPoint Presentation CSE 3521: Graph Search [Many slides are adapted from the UC Berkeley. CS188 Intro to AI at UC Berkeley and previous CSE 3521 course at OSU.] Recap: Uninformed vs. informed search Uninformed search Given no information about the problem (other than its definition) Find solutions by systematically visiting new states and testing for
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class: “GraphSearchTest” algorithm: “aStarSearch” diagram: “”” 2 3 2 S — A — C —> G | \ / ^ 3 | \ 5 / 1 / | \ / / B — D ——-/ 4 5 S is the start state, G is the goal. Arrows mark possible state transitions. The number next to
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