Markov decision processes (MDP), also known as discrete-time stochastic control processes, are a cornerstone in the study of sequential optimization problems that arise in a wide range of fields, from engineering to robotics to finance, where the results of actions taken under planning may be ...
作者:Ronald A Howard 出版社:The M.I.T. Press 出版年:1960-6-15 页数:136 装帧:Hardcover ISBN:9780262080095 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· ··· 我要写书评 Dynamic Programming and Markov Processes的书评 ···(全部 0 条) + 加入购书单...
动态规划(Dynamic Programming,DP)是强化学习中一个重要的算法框架,主要用于求解马尔可夫决策过程(Markov Decision Processes,MDP)的最优策略。动态规划算法如Value Iteration和Policy Iteration主要用于确定状态-动作值函数(Q-function)或状态值函数(V-function),进而导出最优策略。 详细回答 作用 优化策略:DP可用于找到最...
A great many problems in economics can be reduced to determining the maximum of a given function. Dynamic programming is one of a number of mathematical optimization techniques applicable in such problems. As will be illustrated, the dynamic programming technique or viewpoint is particularly useful i...
Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part II: POMDP implementation An advanced, non-stationary, 332 state, infinite horizon POMDP formulation is solved.The cost-benefit of information is naturally incorporated in the metho... KG ...
1. 就地动态规划:In-Place Dynamic Programming In-place 动态规划所做的改进,是直接去掉了原来的副本 v_k ,只保留最新的副本(也就是说,在一次更新过程中,存在着有些用的是 v_{k} ,有些用的是 v_{k+1} )。具体而言,我们可以这样表示:对于所有的状态s: v(s) \leftarrow \max_{a \in A} (R_s...
Markov Decision Processes Discrete Stochastic Dynamic Programming 星级: 667 页 Indefinite LQ Control for Discrete-Time Stochastic Systems via Semidefinite Programming 星级: 15 页 Optimal Reservoir Operation Using Stochastic Dynamic Programming 星级: 4 页 The dynamic programming equations for stochasti...
Howard RA (1960) Dynamic programming and Markov processes. Wiley, New York MATH Google Scholar Hadley G (1962) Nonlinear and dynamic programming. Addison-Wesley, London Google Scholar Zietz J (2004) Dynamic programming: an introduction by example. http://frank.mtsu.edu/~berc/working/Zietz-...
Targeting the above deficiencies, an MDP (Markov decision process) model in the finite time domain12 is established and combined with dynamic programming theory to analyze the optimal scheduling of limited production equipment resources among different types of orders to maximize the production benefits ...
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