Neuro-dynamic programmingPolicy iterationSaturated state and inputThe macroscopic fundamental diagram (MFD) can effectively reduce the spatial dimension involved in dynamic optimization of traffic performance fo
出版社:Athena Scientific 出版年:1996-5 页数:491 定价:USD 89.00 装帧:Hardcover ISBN:9781886529106 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· This is the first textbook that fully explains the neuro-dynamic programming/reinforcement learning methodology, which...
1.4.Neuro-DynamicProgramming p.8 1.5.NotesandSources p.9 2.DynamicProgramming p.11 2.1.Introduction p.12 2.1.1.FiniteHorizonProblems p.13 2.1.2.InfiniteHorizonProblems p.14 2.2.StochasticShortestPathProblems p.17 2.2.1.GeneralTheory p.18 2.2.2.ValueIteration p.25 2.2.3.PolicyIteration p.29...
动态规划(dynamic programming)是运筹学的一个分支,是求解决策过程(decision process)最优化的数学方法。20世纪50年代初美国数 学家R.E.Bellman等人提出了著名的最优化原理(principle of optimality),把多阶段过程转化为一系列单阶段问题,利用各阶段之间的关系,逐个求解, 创立了解决这类过程优化问题的新方法——动态规划。
This is the first textbook that fully explains the neuro-dynamic programming/reinforcement learning methodology, which is a recent breakthrough in the practical application of neural networks and dynamic programming to complex problems of planning, optimal decision making, and intelligent control. ...
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Neuro-Dynamic Programming An Overview OUTLINE
For this reason, a neuro-dynamic programming (NDP) approach is pursued. Several simulation results are discussed, in particular for what concerns the role of transportation costs in the characterization of the optimal policies.doi:10.3182/20110828-6-it-1002.01970Mauro Boccadoro *...
Pucheta J, Patiño H, Fullana R, Schugurensky C, Kuchen B (2006) A neuro-dynamic programming-based optimal controller for tomato seedling growth in greenhouse systems. Neural Process Lett 24:241–260J.A. Pucheta, C. Schugurensky, R. Fullana, H. Patino and B. Kuchen. ―A Neuro-...
In this paper, a neuro-dynamic programming (NDP)-based event-triggered control (ETC) method is proposed for unknown non-affine nonlinear systems with input constraints. A neural network-based identifier is established with measurable input and output data to learn the unknown system dynamics. Then...