Archive of posts with category 'code'
Introduction Fokker-Planck equations, and stochastic differential equations in general, have many powerful applications in a wide ranging set of fields. These include modelling of Brownian motion in physical systems, electronic...
Where we are Up to this point we have discussed methods primarily relying on the learning of value functions, usually approximating these with some neural network. That is, our focus...
Model-free reinforcement learning algorithms are a class of algorithms which do not use the transition probability information to train and make decisions. In a sense, they are a class of...
