Stochastic Simulation and Reinforcement Learning, April 17-18, 2021. The objectives of this course are to introduce graphical models: Bayesian classifiers, Bayesian networks and graphical causal models, including inference and learning techniques, to gain some practical experience with Weka and Hugin, to learn the basic concepts behind Reinforcement Learning (RL) and to understand the main algorithms in RL.

 

DOWNLOAD:  2021 IASC-LARS School