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Found 3 papers, 1 papers with code
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
We consider the problem of robust optimization within the well-established Bayesian optimization (BO) framework.
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection
Bayesian Optimization (BO) is an effective method for optimizing expensive-to-evaluate black-box functions with a wide range of applications for example in robotics, system design and parameter optimization.
Dual Control for Approximate Bayesian Reinforcement Learning
Control of non-episodic, finite-horizon dynamical systems with uncertain dynamics poses a tough and elementary case of the exploration-exploitation trade-off.
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