research
∙
02/18/2023
Approximate Thompson Sampling via Epistemic Neural Networks
Thompson sampling (TS) is a popular heuristic for action selection, but ...
share
research
∙
10/09/2021
Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?
Posterior predictive distributions quantify uncertainties ignored by poi...
research
∙
07/19/2021
Epistemic Neural Networks
We introduce the epistemic neural network (ENN) as an interface for unce...
research
∙
03/06/2021
Reinforcement Learning, Bit by Bit
Reinforcement learning agents have demonstrated remarkable achievements ...
research
∙
06/12/2020
Hypermodels for Exploration
We study the use of hypermodels to represent epistemic uncertainty and g...
research
∙
03/24/2013
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
We study the problem of adaptive control of a high dimensional linear qu...
research
∙
12/18/2012
Accelerated Time-of-Flight Mass Spectrometry
We study a simple modification to the conventional time of flight mass s...
research
∙
03/09/2011