A Model for Multi-timescaled Sequential Decision-making Processes with Adversary

A Model for Multi-time Scaled Sequential Decision Making Processes

We propose a simple analytical model called M time-scale Markov Decision Process (MMDP) for hierarchically structured sequential decision making processes, where decisions in each level in the M -level hierarchy are made in M different time-scales. In this model, the state space and the action space of each level in the hierarchy are non-overlapping with those of the other levels, respectively,...

A BI-LEVEL LINEAR MULTI-OBJECTIVE DECISION MAKING MODEL WITH INTERVAL COEFFICIENTS FOR SUPPLY CHAIN COORDINATION

  Bi-level programming, a tool for modeling decentralized decisions, consists of the objective(s) of the leader at its first level and that is of the follower at the second level. Three level programming results when second level is itself a bi-level programming. By extending this idea it is possible to define multi-level programs with any number of levels. Supply chain planning problems are co...

A bi-level linear multi-objective decision making model with interval coefficients for supply chain coordination

Abstract: Bi-level programming, a tool for modeling decentralized decisions, consists of the objective(s) of the leader at its first level and that is of the follower at the second level. Three level programming results when second level is itself a bi-level programming. By extending this idea it is possible to define multi-level programs with any number of levels. Supply chain planning problem...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

GSMDPs for Multi-Robot Sequential Decision-Making

Markov Decision Processes (MDPs) provide an extensive theoretical background for problems of decision-making under uncertainty. In order to maintain computational tractability, however, real-world problems are typically discretized in states and actions as well as in time. Assuming synchronous state transitions and actions at fixed rates may result in models which are not strictly Markovian, or...