Tags » Reinforcement Learning

Function Approximation using Fourier Basis

Function approximation is an interesting topic. On the one hand you are looking for a function that approximates arbitrary data, can handle multi-dimensionality without problems, but on the other hand you want to keep it small for the memory and yet fast for retrieving values. 625 more words

Discrete Fourier Transformation

Markov decision processes

Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision making in situations where outcomes are partlyrandom and partly under the control of a decision maker. 463 more words