Thompson sampling (TS) is a popular heuristic for action selection, but ...
Posterior predictive distributions quantify uncertainties ignored by poi...
We introduce the epistemic neural network (ENN) as an interface for
unce...
Reinforcement learning agents have demonstrated remarkable achievements ...
We study the use of hypermodels to represent epistemic uncertainty and g...
We study the problem of adaptive control of a high dimensional linear
qu...
We study a simple modification to the conventional time of flight mass
s...
Consider the problem of learning the drift coefficient of a stochastic
d...