Content deleted Content added
→Neuro-dynamic programming: added link |
|||
Line 89:
==== Neuro-dynamic programming ====
Neuro-dynamic programming is the same as dynamic programming except that the former has the concept of approximation architectures. It combines [[artificial intelligence]], simulation-base algorithms, and functional approach techniques. “Neuro” in this term origins from artificial intelligence community. It means learning how to make improved decisions for the future via built-in mechanism based on the current behavior. The most important part of neuro-dynamic programming is to build a trained neuro network for the optimal problem.<ref>Van Roy, B., Bertsekas, D., Lee, Y., & [[John Tsitsiklis|Tsitsiklis, J.]] (1997). [https://web.stanford.edu/~bvr/pubs/retail.pdf Neuro-dynamic programming approach to retailer inventory management]. ''Proceedings of the IEEE Conference on Decision and Control,'' ''4'', 4052-4057.</ref>
== Limitations ==
| |||