'Pomdp' presentation slideshows

Partially Observable Markov Decision Processes

Partially Observable Markov Decision Processes. Lee Wee Sun School of Computing leews@comp.nus.edu.sg. Dialog Systems. Aim : Find out what the person wants Actions : Ask appropriate questions Observations : Output of speech recognizer. Video from

1.56k views • 125 slides

SAT ? AI

SAT ? AI. Henry Kautz University of Rochester. Outline. Ancient History: Planning as Satisfiability The Future: Markov Logic. Part I. Ancient History: Planning as Satisfiability Planning SAT encoding 3 good ideas: Parallel actions Plan graph pruning Transition based encoding.

981 views • 75 slides

Compressing Mental Model Spaces and Modeling Human Strategic Intent

Compressing Mental Model Spaces and Modeling Human Strategic Intent. Prashant Doshi University of Georgia, USA. http://thinc.cs.uga.edu. Yifeng Zeng Reader, Teesside Univ. Previously: Assoc Prof., Aalborg Univ. Yingke Chen Doctoral student. Muthu Chandrasekaran Doctoral student.

865 views • 72 slides

CPSC 422 Lecture 2 Review of Bayesian Networks, Representational Issues

CPSC 422 Lecture 2 Review of Bayesian Networks, Representational Issues. Recap: Different Views of AI. Recap: Our View. . AI as Study and Design of Intelligent Agents. An intelligent agent is such that Its actions are appropriate for its goals and circumstances

694 views • 61 slides

CSE-573 Artificial Intelligence

677 views • 53 slides

Sigma: Towards a Graphical Architecture for Integrated Cognition

620 views • 47 slides

CSE-473 Artificial Intelligence

CSE-473 Artificial Intelligence. Partially-Observable MDPS ( POMDPs). Classical Planning. What action next?. Static. Predictable. Environment. Fully Observable . Discrete . Deterministic . Perfect. Percepts. Actions. Stochastic Planning (MDPs, Reinforcement Learning).

543 views • 43 slides

Planning under Uncertainty

632 views • 38 slides

Dr. Itamar Arel College of Engineering Electrical Engineering and Computer Science Department

ECE-517: Reinforcement Learning in Artificial Intelligence Lecture 15: Partially Observable Markov Decision Processes (POMDPs). October 27, 2010. Dr. Itamar Arel College of Engineering Electrical Engineering and Computer Science Department The University of Tennessee Fall 2010. Outline.

560 views • 31 slides

Uncertainty in Sensing (and action)

436 views • 30 slides

Uncertainty in Sensing (and action)

Uncertainty in Sensing (and action). Agenda. Planning with belief states Nondeterministic sensing uncertainty Probabilistic sensing uncertainty. Belief State.

393 views • 28 slides

Nonlinear Optimization for Optimal Control Part 2 Pieter Abbeel UC Berkeley EECS

Nonlinear Optimization for Optimal Control Part 2 Pieter Abbeel UC Berkeley EECS. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A A A A A A. Outline. From linear to nonlinear Model-predictive control (MPC) POMDPs.

378 views • 22 slides

Collaborative Data Analysis and Multi-Agent Systems

Collaborative Data Analysis and Multi-Agent Systems. Robert W. Thomas CSCE 824 15 APR 2013. Agenda. Problem Description Existing Research Overview Limitation of Existing Results Future Research Suggestions. Problem Description. Information Overload Divide and Conquer; Reconcile

281 views • 21 slides

Rechargeable Sensor Activation under Temporally Correlated Events

Rechargeable Sensor Activation under Temporally Correlated Events. Neeraj Jaggi ASSISTANT PROFESSOR DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE WICHITA STATE UNIVERSITY. Outline. Sensor Networks Rechargeable Sensor System Design of energy-efficient algorithms

341 views • 21 slides

Machine Learning: Learning finite state environments

306 views • 20 slides

From Memory to Problem Solving: Mechanism Reuse in a Graphical Cognitive Architecture

From Memory to Problem Solving: Mechanism Reuse in a Graphical Cognitive Architecture. Paul S. Rosenbloom | 8/5/2011.

282 views • 17 slides

Decision-Making on Robots U sing POMDPs and Answer Set Programming

Decision-Making on Robots U sing POMDPs and Answer Set Programming. Christian Washington Louisiana State University Department of Electrical and Computer Engineering. Shiqi Zhang, Mohan Sridharan Texas Tech University Department of Computer Science. Answer Set Programming. Introduction

111 views • 1 slides