Thompson sampling (TS) is a popular heuristic for action selection, but ...
Large language models are now part of a powerful new paradigm in machine...
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...
Regret analysis is challenging in Multi-Agent Reinforcement Learning (MA...
We consider a system comprising a file library and a network with a serv...