Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 220 for “"Decision Processes"”.
-
Time-dependence in Markovian decision processes.
The main focus of this thesis is Markovian decision processes with an emphasis on incorporating time-dependence into the system dynamics. When considering such decision processes, we provide value equations that apply to a large range of classes of Markovian decision processes, including Markov …
-
Perturbation theory and Markovian decision processes.
Massachusetts Institute of Technology. Dept. of Physics. Thesis. 1965. Sc.D.
-
Hazard avoidance alerting with Markov decision processes
(cont.) (incident rate and unnecessary alert rate), the MDP-based logic can meet or exceed that of alternate logics.
-
Simulation-based optimization of Markov decision processes
Markov decision processes have been a popular paradigm for sequential decision making under uncertainty. Dynamic programming provides a framework for studying such problems, as well as for devising algorithms to compute an optimal control policy. Dynamic programming methods rely on a suitably …
-
Acceleration of Iterative Methods for Markov Decision Processes
This research focuses on Markov Decision Processes (MDP). MDP is one of the most important and challenging areas of Operations Research. Every day people make many decisions: today's decisions impact tomorrow's and tomorrow's will impact the ones made the day after. Problems in Engineering, …
-
An investigation of consumers’ decision processes and styles
A vast number of new products are launched on to the market every year, 80-90% of which are destined to fail. The aim of the current study was to identify the group of people i.e. market initiators who would be the first to buy a new product. The new product in the current study was polyunsaturated …
-
Tensor decomposition and parallelization of Markov Decision Processes
Markov Decision Processes (MDPs) with large state spaces arise frequently when applied to real world problems. Optimal solutions to such problems exist, but may not be computationally tractable, as the required processing scales exponentially with the number of states. Unsurprisingly, investigating …
-
Developing decision processes for managing supply chain dynamics
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1997, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
-
Learning bounded optimal behavior using Markov decision processes
… optimization problem is posed within a Markov Decision Process framework and is solved off-line to determine a policy for carrying out computations. Once the optimal policy is determined, it serves efficiently as an online metalevel controller that selects computational actions conditioned upon …
-
Asset Management Data Collection for Supporting Decision Processes
… collection activities in order to support their decision processes at various levels. However, not all the data collected supply transportation officials with useful information for efficient and effective decision-making. This thesis presents research aimed at formally identifying links between …
-
Learning and value function approximation in complex decision processes
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
-
Cognitive Radar Applied To Target Tracking Using Markov Decision Processes
… coexistence problem is modeled as a Markov decision process (MDP), and reinforcement learning is applied to drive the radar to optimal behavior.
-
Model-free reinforcement learning in non-stationary Markov Decision Processes
… unknown environment, usually modeled by a Markov Decision Process (MDP). The classical RL literature typically assumes that the state transition functions and the reward functions of the MDP are time-invariant. Such a stationary model, however, cannot capture the dynamic nature of many sequential …
-
Decomposition of Time Scales in Linear Systems and Markovian Decision Processes
The presence of "slow" and "fast" dynamics in large scale systems has motivated the use of singular perturbations as a means of obtaining reduced order models for analysis and control law design. In this thesis we establish how systems having this "two-time-scale" property can use singular …
-
Robust, risk-sensitive, and data-driven control of Markov Decision Processes
Markov Decision Processes (MDPs) model problems of sequential decision-making under uncertainty. They have been studied and applied extensively. Nonetheless, there are two major barriers that still hinder the applicability of MDPs to many more practical decision making problems: * The decision …
-
The problem of identity in organizational behavior and human decision processes
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1998.
-
Adoption of telecommuting : modeling the employer's and the employee's decision processes
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1995.
-
Consequentiality, justification and auditors' decision processes: A theoretical framework and two experiments
… is known regarding their effects on auditors' decision processes (e.g., Ashton 1990; Gibbins and Newton 1993; Solomon and Shields, in press). In this dissertation, I develop a framework for predicting when justification demands are likely to be of significant influence. Additionally, I …
-
Policy-based average-reward and robust Markov decision processes and reinforcement learning
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms
Page 1 of 11