Browsing Faculty of Engineering and Science by Subject "Bayesian reasoning"

Now showing items 1-2 of 2

Discretized Bayesian pursuit – A new scheme for reinforcement learning

Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, B. John (Lecture Notes in Computer Science;7345, Chapter; Peer reviewed, 2012)

The success of Learning Automata (LA)-based estimator algorithms over the classical, Linear Reward-Inaction ( L RI )-like schemes, can be explained by their ability to pursue the actions with the highest reward probability ...
On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata

Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, B. John (Journal article; Peer reviewed, 2013)

There are currently two fundamental paradigms that have been used to enhance the convergence speed of Learning Automata (LA). The first involves the concept of utilizing the estimates of the reward probabilities, while the ...