| 查看: 201 | 回复: 0 | |||
| 当前主题已经存档。 | |||
[交流]
[书籍]Simulation-based Algorithms for Markov Decision Processes[已搜无重复]
|
|||
|
Simulation-based Algorithms for Markov Decision Processes Springer | ISBN 1846286891 | 2007-03-05 | PDF | 207 pages | 4.6 MB Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. It is well-known that many real-world problems modeled by MDPs have huge state and/or action spaces, leading to the notorious curse of dimensionality that makes practical solution of the resulting models intractable. In other cases, the system of interest is complex enough that it is not feasible to specify some of the MDP model parameters explicitly, but simulation samples are readily available (e.g., for random transitions and costs). For these settings, various sampling and population-based numerical algorithms have been developed recently to overcome the difficulties of computing an optimal solution in terms of a policy and/or value function. Specific approaches include: • multi-stage adaptive sampling; • evolutionary policy iteration; • evolutionary random policy search; and • model reference adaptive search. http://w14.easy-share.com/6124251.html |
回复此楼» 猜你喜欢
版面费该交吗
已经有14人回复
-
面上可以超过30页吧？
已经有10人回复
-
体制内长辈说体制内绝大部分一辈子在底层，如同你们一样大部分普通教师忙且收入低
已经有18人回复
-
网上报道青年教师午睡中猝死、熬夜猝死的越来越多，主要哪些原因引起的？
已经有5人回复
-
为什么中国大学工科教授们水了那么多所谓的顶会顶刊，但还是做不出宇树机器人？
已经有10人回复
-
什么是人一生最重要的？
已经有4人回复