受强制性开放获取政策约束的文章 - Alexander Vladimirsky了解详情
可在其他位置公开访问的文章：12 篇
Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory
M Gluzman, JG Scott, A Vladimirsky
Proceedings of the Royal Society B 287 (1925), 20192454, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Optimal control with budget constraints and resets
R Takei, W Chen, Z Clawson, S Kirov, A Vladimirsky
SIAM Journal on Control and Optimization 53 (2), 712-744, 2015
强制性开放获取政策： US Department of Energy
Control-theoretic models of environmental crime
E Cartee, A Vladimirsky
SIAM Journal on Applied Mathematics 80 (3), 1441-1466, 2020
强制性开放获取政策： US National Science Foundation
Evasive path planning under surveillance uncertainty
MA Gilles, A Vladimirsky
Dynamic Games and Applications 10 (2), 391-416, 2020
强制性开放获取政策： US National Science Foundation
Quantifying and managing uncertainty in piecewise-deterministic Markov processes
E Cartee, A Farah, A Nellis, J Van Hook, A Vladimirsky
SIAM/ASA Journal on Uncertainty Quantification 11 (3), 814-847, 2023
强制性开放获取政策： US National Science Foundation
Time-dependent surveillance-evasion games
E Cartee, L Lai, Q Song, A Vladimirsky
2019 IEEE 58th Conference on Decision and Control (CDC), 7128-7133, 2019
强制性开放获取政策： US National Science Foundation
Corner cases, singularities, and dynamic factoring
D Qi, A Vladimirsky
Journal of Scientific Computing 79 (3), 1456-1476, 2019
强制性开放获取政策： US National Science Foundation
Optimal path-planning with random breakdowns
M Gee, A Vladimirsky
IEEE Control Systems Letters 6, 1658-1663, 2021
强制性开放获取政策： US National Science Foundation
Optimal stopping with a probabilistic constraint
AZ Palmer, A Vladimirsky
Journal of Optimization Theory and Applications 175, 795-817, 2017
强制性开放获取政策： US National Science Foundation
Optimal driving under traffic signal uncertainty
ME Gaspard, A Vladimirsky
IFAC-PapersOnLine 55 (16), 25-31, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Stochastic Optimal Control of a Sailboat
C Miles, A Vladimirsky
IEEE Control Systems Letters 6, 2048-2053, 2021
强制性开放获取政策： US National Science Foundation, US Department of Energy
Surveillance evasion through bayesian reinforcement learning
D Qi, D Bindel, A Vladimirsky
International Conference on Artificial Intelligence and Statistics, 8448-8462, 2023
强制性开放获取政策： US National Science Foundation
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