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When learning to ride a bike, a child falls down a number of times before achieving the first success.
A new method of locating the maximum point of an arbitrary multipeak curve in the presence of noise
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A direct search optimization method that models the objective and constraint functions by linear interpolation
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Lectures on stationary stochastic processes
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Gaussian Processes for Machine Learning
Rasmussen, C. E. and Williams, C. K · 2006
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Extreme value theory: An introduction
De Haan, L. and Ferreira, A · 2007
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Random fields and geometry
Adler, R. J. and Taylor, J. E · 2009
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Gaussian process optimization in the bandit setting: No regret and experimental design
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Gramacy, R. B. and Lee, H · 2011
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Jamil, M. and Yang, X.-S · 2013
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Bayesian optimization with inequality constraints
Gardner, J. R., Kusner, M. J., Xu, Z., Weinberger, K. Q., and Cunningham, J. P · 2014
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Bayesian optimization with unknown constraints
Gelbart, M. A., Snoek, J., and Adams, R. P · 2014
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Bayesian optimization for learning gaits under uncertainty
Calandra, R., Seyfarth, A., Peters, J., and Deisenroth, M. P · 2016
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A general framework for constrained bayesian optimization using information-based search
Hernández-Lobato, J. M., Gelbart, M. A., Adams, R. P., Hoffman, M. W., and Ghahramani, Z · 2016
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Automatic LQR tuning based on Gaussian process global optimization
Marco, A., Hennig, P., Bohg, J., Schaal, S., and Trimpe, S · 2016
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Taking the human out of the loop: A review of Bayesian optimization
Shahriari, B., Swersky, K., Wang, Z., Adams, R. P., and De Freitas, N · 2016
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Lookahead Bayesian optimization with inequality constraints
Lam, R. and Willcox, K · 2017
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Max-value entropy search for efficient Bayesian optimization
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Safe exploration for optimization with Gaussian processes
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Safe controller optimization for quadrotors with Gaussian processes
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OpenAI Gym, 2016
Brockman, G., Cheung, V., Pettersson, L., Schneider, J., Schulman, J., Tang, J., and Zaremba, W · 2016
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Bayesian optimization with gradients
Wu, J., Poloczek, M., Wilson, A. G., and Frazier, P · 2017
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Minimal random code learning: Getting bits back from compressed model parameters
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Bayesian optimization using domain knowledge on the ATRIAS biped
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Gait learning for soft microrobots controlled by light fields
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