'Large state spaces' presentation slideshows

CPSC 533 Reinforcement Learning

CPSC 533 Reinforcement Learning. Paul Melenchuk Eva Wong Winson Yuen Kenneth Wong. Outline. Introduction Passive Learning in an Known Environment Passive Learning in an Unknown Environment Active Learning in an Unknown Environment Exploration Learning an Action Value Function

920 views • 64 slides

641 views • 53 slides

Zing: A Systematic State Explorer for Concurrent Software

Zing: A Systematic State Explorer for Concurrent Software. Tony Andrews Shaz Qadeer Sriram K. Rajamani Jakob Rehof Microsoft Research. Model Checking. Finding bugs by systematically exploring all possible states of a model Works for control-dominated hardware and protocols

558 views • 35 slides

10.5: Model Solution 10.6 Model Interpretation 10.7 Assumption and Limitation

10.5: Model Solution 10.6 Model Interpretation 10.7 Assumption and Limitation. 10.5 Model Solution. Three steps to create a Markov model: 1) Construct the state diagram by identifying all possible states that the modeled system may find itself.

367 views • 23 slides

Classifier-Based Approximate Policy Iteration

311 views • 21 slides

CMSC 471 Spring 2014 Class #4 Thu 2/6/14 Uninformed Search

252 views • 16 slides

JasperGold for Targeted ROI

JasperGold for Targeted ROI . JasperGold solutions portfolio delivers competitive advantage across the spectrum of SoC design applications: Architectural analysis RTL design and debug Verification, including regression test and low power analysis

346 views • 10 slides