Results 261 to 270 of about 937,585 (275)

Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations

European Journal of Operational Research, 2023
Akash Deep, Shiyu Zhou, D. Veeramani, Y. Chen   +3 more
semanticscholar   +1 more source

Partially observable Markov decision processes for artificial intelligence

1995
In this paper, we bring techniques from operations research to bear on the problem of choosing optimal actions in partially observable stochastic domains. In many cases, we have developed new ways of viewing the problem that are, perhaps, more consistent with the AI perspective. We begin by introducing the theory of Markov decision processes (Mdps) and
Michael L. Littman, Anthony R. Cassandra, Leslie Pack Kaelbling   +2 more
openaire   +3 more sources

A generalised partially observable Markov decision process updated by decision trees for maintenance optimisation

, 2011
This paper proposes a generalised partially observable Markov decision process (POMDP) combining decision analysis and dynamic programming. The model is applied to a maintenance optimisation problem, even though the scope of its utility is far beyond ...
R. Faddoul, W. Raphael, A. Chateauneuf
semanticscholar   +1 more source

Reward revision for partially observed Markov decision processes

1985 24th IEEE Conference on Decision and Control, 1985
We present an algorithm for accelerating a successive approximation solution procedure for the infinite horizon, expected discounted total reward partially observed Markov decision process (POMDP). This algorithm proceeds by simultaneously constructing and solving a sequence of dynamic programs, each of which is more computationally attractive than the
Chelsea C. White, William T. Scherer
openaire   +2 more sources

Improved Responsibility-Sensitive Safety Algorithm through a Partially Observable Markov Decision Process Framework for Automated Driving Behavior at Non-Signalized Intersection

International journal of automotive technology, 2021
Duy Quang Tran, Sang-Hoon Bae
semanticscholar   +1 more source

Partially observed Markov decision processes (POMDPs)

2016
A POMDP is a controlled HMM. Recall from §2.4 that an HMM consists of an X -state Markov chain { x k } observed via a noisy observation process { y k }. Figure 7.1 displays the schematic setup of a POMDP where the action u k affects the state and/or observation (sensing) process of the HMM.
openaire   +2 more sources

Solution Procedures for Partially Observed Markov Decision Processes

Operations Research, 1989
We present three algorithms to solve the infinite horizon, expected discounted total reward partially observed Markov decision process (POMDP). Each algorithm integrates a successive approximations algorithm for the POMDP due to A. Smallwood and E.
Chelsea C. White, William T. Scherer
openaire   +2 more sources

A predictive Markov decision process for optimizing inspection and maintenance strategies of partially observable multi-state systems

Reliability Engineering & System Safety, 2022
Chunhui Guo, Zhenglin Liang
semanticscholar   +1 more source

Structural Results for Partially Observable Markov Decision Processes

Operations Research, 1979
This paper examines monotonicity results for a fairly general class of partially observable Markov decision processes. When there are only two actual states in the system and when the actions taken are primarily intended to improve the system, rather than to inspect it, we give reasonable conditions which ensure that the optimal reward function and ...
openaire   +1 more source

Asynchronous framework with Reptile+ algorithm to meta learn partially observable Markov decision process

Applied intelligence (Boston), 2020
Dang Quang Nguyen, Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung   +3 more
semanticscholar   +1 more source