Learning and forgetting using reinforced Bayesian change detection
Agents living in volatile environments must be able to detect changes in contingencies while
refraining to adapt to unexpected events that are caused by noise. In Reinforcement …
refraining to adapt to unexpected events that are caused by noise. In Reinforcement …
The hierarchical adaptive forgetting variational filter
V Moens - International Conference on Machine Learning, 2018 - proceedings.mlr.press
A common problem in Machine Learning and statistics consists in detecting whether the
current sample in a stream of data belongs to the same distribution as previous ones, is an …
current sample in a stream of data belongs to the same distribution as previous ones, is an …
Systems Isomorphisms in Stochastic Dynamic Systems
R Venkatachalapathy - 2020 - search.proquest.com
The identification of isomorphisms between disparate systems is an important focus of
systems science. Such isomorphisms have not only conceptual and pedagogical value to …
systems science. Such isomorphisms have not only conceptual and pedagogical value to …
[PDF][PDF] Learning and making decisions in changing environments with Variational Inference
V Moens - 2018 - dial.uclouvain.be
Understanding the brain, and, broadly speaking, studying human nature, can be regarded
as a nested problem: a group of of individuals of a kind try to model the specifics of this kind …
as a nested problem: a group of of individuals of a kind try to model the specifics of this kind …