Thompson sampling (TS) is a popular heuristic for action selection, but ...
Recent work introduced the epinet as a new approach to uncertainty model...
In machine learning, an agent needs to estimate uncertainty to efficient...
Most work on supervised learning research has focused on marginal
predic...
Posterior predictive distributions quantify uncertainties ignored by poi...
Reinforcement learning agents have demonstrated remarkable achievements ...
We study the use of hypermodels to represent epistemic uncertainty and g...
Algorithms that tackle deep exploration – an important challenge in
rein...
Given two consecutive RGB-D images, we propose a model that estimates a ...