2 papers
cs.RO2021
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration
Christian Ellis, Maggie Wigness, John G. Rogers +2
Traditional imitation learning provides a set of methods and algorithms to learn a reward function or policy from expert demonstrations. Learning from demonstration has been shown…
math.CO2008
On the locality of the Prüfer code
Craig Lennon
The Prüfer code is a bijection between trees on the vertex set and strings on the set of length (Prüfer strings of order ). In this paper we examine the `local…