PPT-CS440/ECE448 Lecture 10:

TwoPlayer Games Slides by Mark HasegawaJohnson amp Svetlana Lazebnik 22020 Distributed under CCBY 40 httpscreativecommonsorglicensesby40 You are free to share andor adapt if you give attribution. The problem is that this information is oftenly unknown LMS is a method that is based on the same principles as the met hod of the Steepest descent but where the statistics is esti mated continuously Since the statistics is estimated continuously th CS440/ECE448: Artificial Intelligence. Course website:. http://. slazebni.cs.illinois.edu. /fall15/. What is AI?. Candidate definitions from the textbook:. 1.. . Thinking. humanly. 2. Acting humanly. 11. Assembly Language and . Arduino. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. ultimately just binary (or hex) instructions loaded into the . CS440/ECE448: Artificial Intelligence. Course website:. http://. slazebni.cs.illinois.edu. /fall15/. What is AI?. Candidate definitions from the textbook:. 1.. . Thinking. humanly. 2. Acting humanly. Assembly Language and . Arduino. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. ultimately just binary (or hex) instructions loaded into the . 1. CS440. Eclipse basics. Written in Java. Based on . Equinox. framework. Modular Java specification . OSGi. (Open Services Gateway initiative). Dynamically loaded modules: bundles. Android Development Tools (ADT) plug-in: Bundle. 1. CS440. Adapters (again!). Adapters . are . bridging . classes,. . that bind data to user-interface Views. The adapter is responsible for . creating the . child views used to represent each item and providing access to the underlying data.. CS440/ECE448: Artificial Intelligence. Section Q course website:. http://slazebni.cs.illinois.edu/. fall16/. What is AI?. Candidate definitions from the textbook:. 1.. . Thinking. humanly. 2. Acting humanly. Assembly Language and . Arduino. Adapted from T. Murphy’s slides. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. CS440/ECE448: Artificial Intelligence. Section Q course website:. http://slazebni.cs.illinois.edu/fall17/. What is AI?. What is AI?. Four possible definitions (textbook . ch.. 1):. Thinking . humanly. Stochastic Games, Stochastic Search, and Learned Evaluation Functions. Slides by Svetlana Lazebnik, 9/2016. Modified by Mark Hasegawa-Johnson, 9/2017. Types of game environments. Deterministic. Stochastic. Logistic Regression. Mark Hasegawa-Johnson, 2/2022. License: CC-BY 4.0. Outline. One-hot vectors: rewriting the perceptron to look like linear regression. Softmax. : Soft category boundaries. Cross-entropy = negative log probability of the training data. Markov Decision Processes. Mark Hasegawa-Johnson, 4/2020. Including slides by Svetlana Lazebnik, 11/2016. Including many figures by Peter . Abbeel. and Dan Klein, UC Berkeley CS 188. Grid World. Invented and drawn by Peter . Linear Classifiers. Mark Hasegawa-Johnson, 3/2020. Including Slides by . Svetlana Lazebnik, 10/2016. License: CC-BY 4.0. Linear Classifiers. Classifiers. Perceptron. Linear classifiers in general. Logistic regression.