'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

938 views • 64 slides

657 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

574 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.

383 views • 23 slides

Classifier-Based Approximate Policy Iteration

323 views • 21 slides

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

262 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

364 views • 10 slides