Offline reinforcement learning learns an effective policy on offline dat...
In recent years, the field of intelligent transportation systems (ITS) h...
Comparing Bayesian neural networks (BNNs) with different widths is
chall...
For responsible decision making in safety-critical settings, machine lea...
We develop a Reinforcement Learning (RL) framework for improving an exis...
Self-supervised learning (SSL), as a newly emerging unsupervised
represe...
Contextual bandits often provide simple and effective personalization in...
Bayesian Neural Networks (BNNs) place priors over the parameters in a ne...
Bayesian neural network (BNN) priors are defined in parameter space, mak...
While modern neural networks are making remarkable gains in terms of
pre...
Bayesian Neural Networks (BNNs) have recently received increasing attent...
Much attention has been devoted recently to the development of machine
l...