Perceptive Evaluation for the Optimal Discounted Reward in Markov Decision Processes

13 years 10 months ago

Download www.math.s.chiba-u.ac.jp

We formulate a fuzzy perceptive model for Markov decision processes with discounted payoﬀ in which the perception for transition probabilities is described by fuzzy sets. Our aim is to evaluate the optimal expected reward, which is called a fuzzy perceptive value, based on the perceptive analysis. It is characterized and calculated by a certain fuzzy relation. A machine maintenance problem is discussed as a numerical example. Keywords : Fuzzy perceptive model, Markov decision process, fuzzy perceptive reward, optimal policy function.

Masami Kurano, Masami Yasuda, Jun-ichi Nakagami, Y

Real-time Traffic

Fuzzy Perceptive Model | Fuzzy Perceptive Reward | Fuzzy Perceptive Value | MDAI 2005 |

claim paper

» AverageReward Decentralized Markov Decision Processes

» Limits of MultiDiscounted Markov Decision Processes

» Probabilistic inference for solving discrete and continuous state Markov Decision Processe...

» Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes

» A Markov Decision Process based flow assignment framework for heterogeneous network access

» A Unified View of TD Algorithms Introducing FullGradient TD and EquiGradient Descent TD

» PerceptionAction Based Object Detection from Local Descriptor Combination and Reinforcemen...

» Decision Making in Uncertain RealWorld Domains Using DTGolog

Post Info
More Details (n/a)

Added	28 Jun 2010
Updated	28 Jun 2010
Type	Conference
Year	2005
Where	MDAI
Authors	Masami Kurano, Masami Yasuda, Jun-ichi Nakagami, Yuji Yoshida

Comments (0)

Sciweavers

Perceptive Evaluation for the Optimal Discounted Reward in Markov Decision Processes

Fuzzy Perceptive Model | Fuzzy Perceptive Reward | Fuzzy Perceptive Value | MDAI 2005 |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers