Dynamic programming

Dynamic programming - Definition
In computer science, dynamic programming is a method for reducing the runtime of algorithms exhibiting the properties of overlapping subproblems and optimal substructure, described below.
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[edit] Dynamic programming in mathematical optimization
In terms of mathematical optimization, dynamic programming usually refers to a simplification of a decision by breaking it down into a sequence of decision steps over time.

dynamic programming methods
state-space planning methods used in AI
Exploration vs Exploitation
RL is learning what to do - how to map situations to actions - so as to maximize a scalar reward signal.

Now, the dynamic programming saved us some steps from the first examples, but not as many as the second (with underestimates). Since we have two different methods of saving us steps, wouldnt it be great if we could combine them some how?

Chapter 12 Dynamic Programming 627
12.1 Introduction 627
12.2 Markov Decision Process 629
12.3 Bellman's Optimality Criterion 631
12.4 Policy Iteration 635
12.5 Value Iteration 637
12.6 Approximate Dynamic Programming: Direct Methods 642
12.

Bellman, "Dynamic Programming," Princeton University Press, Princeton, N.J, 1957.
[52] M. Freimer, "Topics in Dynamic Programming 11," Lincoln Lab., M.I.T., Lexington, Mass., Rept. 52-G-0020, April 1960. (M.I.T. Hayden Library No. H-82).

By integrating ideas from dynamic programming, machine learning, and psychology, reinforcement learning methods have enabled much better solutions to large-scale sequential decision problems than had previously been possible.

In desperation throughout the course of that year I had tried developing under Linux (GCC compiler and Kdevelop), using a dynamic programming algorithm originally developed by Stan Birchfield.

[34] Using function approximation, RL can apply to much larger state spaces than classical sequential optimization techniques such as dynamic programming.

Dynamic Programming) and some algorithm can be translated from Recursive procedure to Repetition (using For-Next or Do-While-Loop). To define a good recursive procedure, you need to set the based value and code to get out of the recursion.

DTW is an instance of the general class of algorithms known as dynamic programming. Its time and space complexity is merely linear in the duration of the speech sample and the vocabulary size.

It is based on Monte Carlo methods and dynamic programming. Temporal difference learning methods can learn directly from raw experience without a model of the environment's dynamics.

In mathematics and computer science, dynamic programming is a method of solving problems exhibiting the properties of overlapping subproblems and optimal substructure (described below) that takes much less time than naive methods. ...

After the recovery teams have done their job we talk about solving such games with minimax and then alpha-beta search. We also discuss the dynamic programming approach, used most commonly for end-games.

See also: Search algorithm, Hill climbing, Artificial intelligence, Depth-first search, Knowledge