most citedFully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NE2022

SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms

Tasos Asonitis, Richard Allmendinger, Matt Benatan +1

We propose SonOpt, the first (open source) data sonification application for monitoring the progress of bi-objective population-based optimization algorithms during search, to faci…

cs.LG2019★ 2 cited

Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning

Matt Benatan, Edward O. Pyzer-Knapp

Reinforcement Learning (RL) has demonstrated state-of-the-art results in a number of autonomous system applications, however many of the underlying algorithms rely on black-box pre…