'Optimal policy' diaporamas de présentation

Monte-Carlo Planning: Basic Principles and Recent Progress

Monte-Carlo Planning: Basic Principles and Recent Progress. Alan Fern School of EECS Oregon State University. Outline. Preliminaries: Markov Decision Processes What is Monte-Carlo Planning? Uniform Monte-Carlo Single State Case (PAC Bandit) Policy rollout Sparse Sampling

837 views • 66 slides

Making Decisions

Making Decisions. CSE 592 Winter 2003 Henry Kautz. Today. Making Simple Decisions Making Sequential Decisions Planning under uncertainty Reinforcement Learning Learning to act based on punishments and rewards. Make the decision of whether to take an umbrella given the weather forecast. .

766 views • 53 slides

So far:

So far:. Historical introduction Mathematical background (e.g., pattern classification, acoustics) Feature extraction for speech recognition (and some neural processing) What sound units are typically defined

515 views • 42 slides

Reinforcement Learning

684 views • 41 slides

Planning under Uncertainty

628 views • 38 slides

Reinforcement Learning

Reinforcement Learning. Yijue Hou. What is learning?. Learning takes place as a result of interaction between an agent and the world, the idea behind learning is that

427 views • 34 slides

MURI Review MIT

MURI Review MIT. Eric Feron Joint Work with Jan De Mot, Vishwesh Kulkarni, Sommer Gentry, Tom Schouwenaars, and Vladislav Gavrilets. at the Laboratory for Information and Decision Systems, MIT. Efficiency = . ??. Number of UAVs.

416 views • 31 slides

Markov Decision Processes

Markov Decision Processes. CSE 473 Chapter 17. Problem Classes. Deterministic vs. stochastic actions Full vs. partial observability. Deterministic, fully observable. Stochastic, Fully Observable. Stochastic, Partially Observable. Sequential Decision Problem.

441 views • 28 slides

Making complex decisions

551 views • 28 slides

A Markov Decision Model for Determining Optimal Outpatient Scheduling

A Markov Decision Model for Determining Optimal Outpatient Scheduling. Jonathan Patrick Telfer School of Management University of Ottawa. Motivation. The unwarranted skeptic and the uncritical enthusiast Outpatient clinics in Canada receiving strong encouragement to switch to open access

380 views • 26 slides

Fleet Renewal with Electrical Vehicles at La Poste

384 views • 22 slides

Markov Decision Process

471 views • 20 slides

Markov Decision Processes

Markov Decision Processes. Stochastic, sequential environments. Game show. A series of questions with increasing level of difficulty and increasing payoff Decision: at each step, take your earnings and quit, or go for the next question If you answer wrong, you lose everything. $100 question.

364 views • 20 slides

300 views • 20 slides

Probabilistic Robotics

Probabilistic Robotics. Planning and Control: Markov Decision Processes. Problem Classes. Deterministic vs. stochastic actions Full vs. partial observability. Deterministic, fully observable. Stochastic, Fully Observable. Stochastic, Partially Observable. Markov Decision Process (MDP).

239 views • 15 slides

Cpt_S 580-03 Intelligent Agents

Cpt_S 580-03 Intelligent Agents. (Reinforcement Learning). Actions: Wave, Stand, Clap Observations: Colors, Rewards Goal: find an optimal policy. What is your policy?. What does the world look like?. Formalize the Problem. Knowns Unknowns. (UP) Wave (RIGHT) Stand (DOWN) Clap.

200 views • 14 slides

What Are Partially Observable Markov Decision Processes

What Are Partially Observable Markov Decision Processes. and Why Might You Care? Bob Wall CS 536. POMDPs.

361 views • 13 slides

EMGT 501

EMGT 501. Final Exam Due: December 14 (Noon), 2004. Note Summarize your solutions in a condensed way. Send your PPS at toshi@nmt.edu . Answer on PPS that has a series of slides. Do not discuss the Final Exam with other people.

286 views • 12 slides

Problem 3; Centralization vs. Decentralization

Centralization and EOQ Prepared by A. Asef-Vaziri Based on the Book: Managing Business Process Flow. Problem 3; Centralization vs. Decentralization.

311 views • 10 slides

ISE 216 Question Hour Chapter 5

ISE 216 Question Hour Chapter 5. Mar. 30th 2011. Q 5.10.

1.1k views • 10 slides