'Sparse sampling' presentation slideshows

Monte-Carlo Planning Look Ahead Trees

Monte-Carlo Planning Look Ahead Trees. Alan Fern. Monte-Carlo Planning Outline. Single State Case (multi-armed bandits) A basic tool for other algorithms Monte-Carlo Policy Improvement Policy rollout Policy Switching Monte-Carlo Look-Ahead Trees Sparse Sampling

736 views • 60 slides

Monte-Carlo Tree Search

Monte-Carlo Tree Search. Alan Fern. Introduction. Rollout does not guarantee optimality or near optimality It only guarantees policy improvement (under certain conditions) Theoretical Question: Can we develop Monte-Carlo methods that give us near optimal policies?

725 views • 51 slides

Monte-Carlo Tree Search

Monte-Carlo Tree Search. Alan Fern. Introduction. Rollout does not guarantee optimality or near optimality It only guarantees policy improvement (under certain conditions) Theoretical Question: Can we develop Monte-Carlo methods that give us near optimal policies?

829 views • 51 slides

Monte-Carlo Planning II

Monte-Carlo Planning II. Alan Fern. Outline. Preliminaries: Markov Decision Processes What is Monte-Carlo Planning? Uniform Monte-Carlo Single State Case (UniformBandit) Policy rollout Approximate Policy Iteration Sparse Sampling Adaptive Monte-Carlo Single State Case (UCB Bandit)

659 views • 50 slides

Adaptive Sequential Decision Making with Self-Interested Agents

Adaptive Sequential Decision Making with Self-Interested Agents. David C. Parkes Division of Engineering and Applied Sciences. Harvard University. http://www.eecs.harvard.edu/econcs. Wayne State University October 17, 2006. Context. Multiple agents Self-interest

520 views • 42 slides

Bjoern Hartmann Stanford HCI Lunch 8/19/2009

You Are Not Alone: How Authoring Tools Can Leverage Activity Traces to Help Users, Developers & Researchers. Bjoern Hartmann Stanford HCI Lunch 8/19/2009. The Idea (Not New). Record what users are doing while using an authoring tool. (At what level of detail? Privacy? Confidentiality?)

465 views • 36 slides

Bayesian Sparse Sampling for On-line Reward Optimization

Bayesian Sparse Sampling for On-line Reward Optimization. Presented in the Value of Information Seminar at NIPS 2005. Based on previous paper from ICML 2005, written by Dale Schuurmans et all. Background Perspective. Be Bayesian about reinforcement learning

356 views • 21 slides

Long-term X-ray and optical variability of radio-quiet AGN

Long-term X-ray and optical variability of radio-quiet AGN. Phil Uttley, University of Southampton with: Ian McHardy, University of Southampton Iossif Papadakis, University of Crete Rick Edelson, UCLA Alex Markowitz, UCLA Brad Peterson, Ohio State.

309 views • 17 slides

2005

Research and Development . 2011. 2010. 2006. 2007. 2008. 2004. 2005. 2009. AOSN-II. Adaptive Sampling and Prediction (ASAP). Autonomous Wide Aperture Cluster for Surveillance (AWACS). Undersea Persistent Surveillance (UPS) . Persistent Littoral Undersea Surveillance (PLUS).

208 views • 6 slides

fMRI Methods

223 views • 5 slides

FUNCTIONAL SPECIALIZATION OF HUMAN AUDITORY CORTICAL FIELDS

FUNCTIONAL SPECIALIZATION OF HUMAN AUDITORY CORTICAL FIELDS G. C. Stecker 1,2 , I. Liao 1 , T.J.Herron 1 , X.Kang 1 , E.W.Yund 1 , T. J. Rinne 1,3 , D.L.Woods 1 *

152 views • 1 slides