An adaptive Bayesian policy-search method (HCI-GIBO/S-HCI-GIBO) uses simulator data to reduce real-robot queries while aiming for high-confidence policy improvements.
Probabilistic movement primitives,
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Simulation-Aided Policy Tuning for Black-Box Robot Learning
An adaptive Bayesian policy-search method (HCI-GIBO/S-HCI-GIBO) uses simulator data to reduce real-robot queries while aiming for high-confidence policy improvements.