'Next states' presentation slideshows

The 20s

The 20s. Presidents during the 20s. Warren G. Harding, Calvin Coolidge, Herbert Hoover. Elected president in 1920. He died in office in 1923 while on a trip to the West Coast of the U.S.

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Mindstorms State Machines

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Batch RL Via Least Squares Policy Iteration

Batch RL Via Least Squares Policy Iteration. Alan Fern. * Based in part on slides by Ronald Parr. Overview. Motivation LSPI Derivation from LSTD Experimental results. Online versus Batch RL. Online RL: integrates data collection and optimization

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CS357: CTL Model Checking (combined notes from lectures 11/5 and 11/7)

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CS420 The knapsack problem

CS420 The knapsack problem. wim bohm, CS CSU. Search and Discrete Optimization. Discrete Optimization Problem ( S,f ) S: space of feasible solutions (satisfying some constraints) f : S ? R function that maps all feasible solutions on the real numbers

579 views • 40 slides

Intelligent Systems (AI-2) Computer Science cpsc422 , Lecture 7 Jan, 20, 2014

Intelligent Systems (AI-2) Computer Science cpsc422 , Lecture 7 Jan, 20, 2014. Lecture Overview. Finish POMDPs Look ahead Applications. Start Reinforcement Learning Start Q-learning. Look Ahead Search for Optimal Policy.

471 views • 38 slides

AI: A Vision

Artificial Intelligence: Fact or Fiction ? CMSC 101 / IS 101Y Dr. Marie desJardins December 3, 2013. AI: A Vision.

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A Memory Efficient Multiple Pattern Matching Architecture for Network Security

A Memory Efficient Multiple Pattern Matching Architecture for Network Security. Presenter : Shi- qu Yu Date : 2011/10/19. Introduction.

399 views • 28 slides

Markov Models

Markov Models. BMI/CS 576 www.biostat.wisc.edu/bmi576.html Sushmita Roy sroy@biostat.wisc.edu Oct 23 rd , 2012. BMI/CS 576. Motivation for Markov models in computational b iology.

369 views • 28 slides

Computational Aspects of Emotion in Adaptive Behavior

Computational Aspects of Emotion in Adaptive Behavior . Joost Broekens, Walter Kosters, Fons Verbeek LIACS, Leiden University, The Netherlands. Joost Broekens, LIACS, Leiden University, The Netherlands. Overview. Emotion & Information Processing. Adaptive agents: reactive, cognitive,

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Chapter 9: Planning and Learning

Chapter 9: Planning and Learning. Use of environment models Integration of planning and learning methods. Objectives of this chapter:. Models. Model : anything the agent can use to predict how the environment will respond to its actions

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Safety verification against DPA for AES Engine

Safety verification against DPA for AES Engine. Jeff Hao, Bo Zhai, Kushal Shah. Outline. Motivation Background Our Technique Symbolic Simulation Approach SAT Solver Approach Results Conclusion. Motivation. Advanced Encryption Standard (AES)

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IKI10201 06b-Analysis of Sequential Logic

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Reinforcement learning example

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Digital Systems I

Digital Systems I. EEC 180A Lecture 15 Bevan M. Baas Tuesday, November 20, 2007. Counter Example. 3-bit counter Specification Starting at zero, it increments by 3 at 6, it wraps back to 0 Has a reset signal input When reset =1, the next counter value is 0 Uses D Flip-flops. reset.

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Chapter 4: Model Checking of Finite State Systems

Chapter 4: Model Checking of Finite State Systems. Albert M. K. Cheng. Model Checking. Is the finite-state graph a model of the temporal logic formula?. Specification represented as a labeled finite-state Graph (Kripke structure). Safety assertion written as temporal logic formula.

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ECE 667 Spring 2011 Synthesis and Verification of Digital Systems

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EE 319K Introduction to Microcontrollers

EE 319K Introduction to Microcontrollers. Lecture 7: Finite State Machines. Software abstraction define a problem with a set of basic abstract principles separate policies mechanisms F inite S tate M achine (FSM.) inputs, outputs, states, and state transitions

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CS 231 Review: Sequential Circuit Design and Counters

CS 231 Review: Sequential Circuit Design and Counters. 28 October 2005. Sequential circuit design procedure. Step 1:

218 views • 6 slides