Results 11 to 20 of about 10,716,551 (348)

Fault-tolerant control of a hydraulic servo actuator via adaptive dynamic programming

Mathematical Modelling and Control, 2023
The fault-tolerant control problem of a hydraulic servo actuator in the presence of actuator faults is studied utilizing adaptive dynamic programming.
V. Stojanovic
semanticscholar   +1 more source

Resilient Dynamic Programming [PDF]

Algorithmica, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CAMINITI, SAVERIO, FINOCCHI, Irene, FUSCO, EMANUELE GUIDO, SILVESTRI, FRANCESCO   +3 more
openaire   +3 more sources

Dynamic programming for graphs on surfaces [PDF]

, 2010
We provide a framework for the design and analysis of dynamic programming algorithms for surface-embedded graphs on n vertices and branchwidth at most k.
B. Courcelle, B. Mohar, E.D. Demaine, E.D. Demaine, F. Dorn, F. Dorn, F. Dorn, F. Flajolet, F.V. Fomin, H.L. Bodlaender, J.A. Telle, N. Robertson, P. Flajolet, P. Seymour, S. Arnborg, S. Cabello   +15 more
core   +5 more sources

Cache efficient simple dynamic programming [PDF]

Discrete Mathematics & Theoretical Computer Science, 2005
New cache-oblivious and cache-aware algorithms for simple dynamic programming based on Valiant's context-free language recognition algorithm are designed, implemented, analyzed, and empirically evaluated with timing studies and cache simulations.
Cary Cherng, Richard E. Ladner
doaj   +1 more source

YADPF: A reusable deterministic dynamic programming implementation in MATLAB

SoftwareX, 2022
This paper introduces the YADPF package, a collection of reusable MATLAB functions to solve deterministic discrete-time optimal control problems using a dynamic programming algorithm.
Auralius Manurung, Lisa Kristiana, Nur Uddin   +2 more
doaj   +1 more source

A linear programming methodology for approximate dynamic programming

International Journal of Applied Mathematics and Computer Science, 2020
The linear programming (LP) approach to solve the Bellman equation in dynamic programming is a well-known option for finite state and input spaces to obtain an exact solution.
Díaz Henry, Sala Antonio, Armesto Leopoldo   +2 more
doaj   +1 more source

Empirical Dynamic Programming [PDF]

Mathematics of Operations Research, 2016
We propose empirical dynamic programming algorithms for Markov decision processes. In these algorithms, the exact expectation in the Bellman operator in classical value iteration is replaced by an empirical estimate to get “empirical value iteration” (EVI).
Haskell, William B., Jain, Rahul, Kalathil, Dileep   +2 more
openaire   +2 more sources

DynaProg: Deterministic Dynamic Programming solver for finite horizon multi-stage decision problems

SoftwareX, 2021
DynaProg is an open-source MATLAB toolbox for solving multi-stage deterministic optimal decision problems using Dynamic Programming. This class of optimal control problems can be solved with Dynamic Programming (DP), which is a well-established optimal ...
Federico Miretti, Daniela Misul, Ezio Spessa   +2 more
doaj   +1 more source

Approximate Dynamic Programming via Sum of Squares Programming [PDF]

, 2012
We describe an approximate dynamic programming method for stochastic control problems on infinite state and input spaces. The optimal value function is approximated by a linear combination of basis functions with coefficients as decision variables.
Kamgarpour, Maryam, Kariotoglou, Nikolaos, Kunz, Konstantin, Lygeros, John, Summers, Sean, Summers, Tyler H.   +5 more
core   +1 more source

State of the Art of Adaptive Dynamic Programming and Reinforcement Learning

CAAI Artificial Intelligence Research, 2022
This article introduces the state-of-the-art development of adaptive dynamic programming and reinforcement learning (ADPRL). First, algorithms in reinforcement learning (RL) are introduced and their roots in dynamic programming are illustrated.
Derong Liu, Mingming Ha, Shan Xue
doaj   +1 more source