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 …
BAM: Bayes with adaptive memory
Online learning via Bayes' theorem allows new data to be continuously integrated into an
agent's current beliefs. However, a naive application of Bayesian methods in non stationary …
agent's current beliefs. However, a naive application of Bayesian methods in non stationary …
Using sequential drift detection to test the API economy
The API economy refers to the widespread integration of API (advanced programming
interface) microservices, where software applications can communicate with each other, as …
interface) microservices, where software applications can communicate with each other, as …
[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 …