Approximate dynamic programming (ADP)
Approximate Dynamic Programming Modeling for a Typical Blood Platelet Bank
... In this paper, we have devised a real-time, workable model for solving the practical problems associated with responsible blood platelet inventory. These problems include how to eciently dispense, organize, store, and ...
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Approximate Guarantee for Approximate Dynamic Programming
... are approximate dynamic programming (ADP), approximate policy iteration [7], approximate linear programming [29], and approximate modified policy iteration ...
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Approximate dynamic programming algorithms for multidimensional flexible production inventory problems
... An important issue in the manufacturing and supply chain literature concerns the optimization of inventory decisions. Single-product inventory problems are widely stud- ied and have been optimally solved under a variety ...
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An approximate dynamic programming approach to attended home delivery management
... index a since we are focusing on a solution to this single-area dynamic program. It is still intractable because of the large state space which grows exponentially in the number of time slots; therefore, we ...
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Grid integration and smart grid implementation of emerging technologies in electric power systems through approximate dynamic programming
... linear programming (Sioshansi 2012 [48]), dynamic programming (Livengood and Larson 2009 [49]), reinforcement learning (O’Neill et ...proposed approximate dynamic ...
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Approximate Dynamic Programming with Parallel Stochastic Planning Operators
... based approximate dynamic programming methods store a set of value estimates that cover multiple states, or state-action pairs rather than a full look up table storing a value for each state-action ...
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Approximate Dynamic Programming with Parallel Stochastic Planning Operators
... based approximate dynamic programming methods store a set of value estimates that cover multiple states, or state-action pairs rather than a full look up table storing a value for each state-action ...
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Approximate dynamic programming with combined policy functions for solving multi stage nurse rostering problem
... An approximate dynamic programming that incorporates a combined policy, value function approximation and lookahead policy, is ...of approximate dynamic ...
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Markov Decision Processes and Approximate Dynamic Programming Methods for Optimal Treatment Design.
... Patrick et al. [75] present a discounted, infinite-horizon MDP to schedule appointments for incoming patients of different priority levels while meeting requirements for priority-specific wait times. The model considers an ...
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Sparse Approximate Dynamic Programming for Dialog Management
... mate Dynamic Programming (ADP) aims at esti- mating the optimal policy from trajectories when the state space is too large for a tabular representa- ...
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Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
... Dynamic programming is a general computational technique for solving sequential optimization problems that can be expressed in terms of an additive cost function [1], ...neurodynamic programming ...
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An approximate dynamic programming approach to the micro CHP scheduling problem
... These instances contained 24 planning intervals up to 10 houses, for which different scenarios for the electricity bounds were tested. We also used these instances to test our micro-CHP approach to, and they are ...
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Robustness, Adaptation, and Learning in Optimal Control
... We show how to use approximate dynamic programming (ADP) to approximate the value function and give an approximate policy. As a result, we too are limited to a sub- set of LTL—in this ...
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Robust Approximate Bilinear Programming for Value Function Approximation
... 2) approximate dynamic programming—or value function approximation—which searches a restricted space of value functions, and 3) approximate linear programming, which approximates the ...
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Dynamic Reconfiguration of Approximate Arithmetic Units for Image Encoding
... [2] F. Dufaux and F. Moscheni, “Motion estimation techniques for digital TV: A review and a new contribution,” Proc. IEEE, vol. 83, no. 6, pp. 858–876, Jun. 1995. [3] I. S. Chong and A. Ortega, “Dynamic voltage ...
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Generalized Augmented Lagrangian Problem and Approximate Optimal Solutions in Nonlinear Programming
... some approximate optimal solutions and a generalized augmented La- grangian in nonlinear programming, establish dual function and dual problem based on the generalized augmented Lagrangian, obtain ...
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Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning
... to approximate dynamic oracles for transition systems where exact dy- namic oracles are difficult to ...classical dynamic oracle, and use Deep Q-Learning (DQN) techniques to train the or- acle with ...
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Dynamic programming with recursive preferences
... It is well known that for Markov decision problems with unbounded rewards, there is no gen- eral theory for dynamic programming to work. One difficulty is that there is no general fixed point theorem to ...
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Dynamic Programming to Identification Problems
... An identification problem is considered as inaccurate measurements of dynamics on a time interval are given. The model has the form of ordinary differential equations which are linear with respect to unknown parameters. ...
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A. Optimization Model Based on Dynamic Programming
... In the presented optimization models were described two techniques for solving sequential programs. Applying the dynamic programming in determinist case for built of a transmission main can be established ...
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