research
∙
07/21/2022
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning
Optimizing noisy functions online, when evaluating the objective require...
share
research
∙
01/24/2022
Constrained Policy Optimization via Bayesian World Models
Improving sample-efficiency and safety are crucial challenges when deplo...
research
∙
11/05/2021
Risk-averse Heteroscedastic Bayesian Optimization
Many black-box optimization tasks arising in high-stakes applications re...
research
∙
12/19/2019
Log Barriers for Safe Non-convex Black-box Optimization
We address the problem of minimizing a smooth function f^0(x) over a com...
research
∙
12/19/2019