research
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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...
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01/24/2022
Constrained Policy Optimization via Bayesian World Models
Improving sample-efficiency and safety are crucial challenges when deplo...
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11/05/2021
Risk-averse Heteroscedastic Bayesian Optimization
Many black-box optimization tasks arising in high-stakes applications re...
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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...
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12/19/2019
