[PDF] Top 20 Approximate dynamic programming with a fuzzy parameterization

... Abstract Dynamic programming (DP) is a powerful paradigm for general, nonlinear optimal ...in a small discrete set. In practice, it is necessary to approximate the ...for ... Voir le document complet

... an approximate dynamic programming (ADP) algorithm to circumvent the nested maximizations of the DP ...to a problem significantly simpler to ...evaluating a given ...BO with ... Voir le document complet

... A number or researchers have explored persistent UAV operations [ 28 , 29 , 84 ...of a forest fires includes a feature to ...dealing with fuel contingencies and refueling, implementation ... Voir le document complet

... using a gradient- based approach. This process is carried out with the policy fixed, so the kernel parameters are tuned to each policy prior to the policy improvement stage being carried ...until a ... Voir le document complet

... provide a communications link between the base and the UAVs performing the ...Also, a failure model of the sensors onboard each UAV allowed the planner to recognize that the UAVs’ sensors may fail during ... Voir le document complet

... in a very volatile environment, airports need to embrace change rather than resist ...face a wide array of risks, some specific to air transportation, other having only an indirect influence but powerful ... Voir le document complet

... Approximate Dynamic Programming Using Bellman Residual Elimination and Gaussian Process Regression Brett Bethke and Jonathan ...an approximate policy itera- tion algorithm for solving ... Voir le document complet

... along with those of some of the state-of-the-art methods as reported in the respective original ...magnitude, with performances which are almost compara- ...process a single frame in ...do ... Voir le document complet

... associated with current integrated assessment models is that arguments for near-term emissions reductions are motivated less by the value of the emissions they avoid in this long-term problem and more by the ... Voir le document complet

... We further show that once we add short sale constraints to the problem, or once we choose to model market dynamics with a nonlinear function, the algorithm ceases to give[r] ... Voir le document complet

... I. I NTRODUCTION Developing sustainable energy systems is one of the most critical issues that today’s society must address. Due to the fluctuating nature of the Renewable Energy Sources (RES) generation, ... Voir le document complet

... associated with current integrated assessment models is that arguments for near-term emissions reductions are motivated less by the value of the emissions they avoid in this long-term problem and more by the ... Voir le document complet

... control; Dynamic programming; Invariant systems; Model reduction; Path planning; Medical applications 1 Introduction The dynamic programming algorithm for computing op- timal control policies ... Voir le document complet

... parallel with the assumed ...lead-field a function of some parameters L ( θ L ) ...each with homogeneous and isotropic conductivity. The four spheres approximate the brain, skull, ... Voir le document complet

... using a look-up table algorithm, and two global basis function (linear and quadratic) algorithms are presented in figures 9 to ...is a measure of the cost-to-go; ...interference with other ... Voir le document complet

... with relatively small state spaces for which MPE can be ...Comparison with Oblivious Equilibrium For large state spaces exact MPE computation is not possible, and one must resort to ...computes a ... Voir le document complet

... developed a rule-based Adaptive Maneuvering Logic Program 10 , which was successful in simulated air combat against human ...into a maneuver selection ...simulation with human pilot adversaries, it ... Voir le document complet

... the approximate policy produced by each algorithm (expressed as a percentage of states in which the approximate policy matches the optimal policy), and running time of the algorithm (measured in the ... Voir le document complet

... are a number of interesting algorithmic directions that warrant ...solving a projected version of Bellman’s equation. TD-learning is a good representative of this type of approach and, as can be seen ... Voir le document complet

... in a series of papers [78, 79, 81, Frankowska] and [28, Aubin & Frankowska] for studying the value function of optimal control problems and characterize it as generalized solution (episolutions and/or ... Voir le document complet