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Found 6 papers, 3 papers with code
Bipedal Balance Control with Whole-body Musculoskeletal Standing and Falling Simulations
Balance control is important for human and bipedal robotic systems.
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Bayesian optimization is an effective technique for black-box optimization, but its applicability is typically limited to low-dimensional and small-budget problems due to the cubic complexity of computing the Gaussian process (GP) surrogate.
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
We also demonstrate the real-world applicability of HdSafeBO through its use in the safe online optimization of neural stimulation induced human motion control.
Improving sample efficiency of high dimensional Bayesian optimization with MCMC
Sequential optimization methods are often confronted with the curse of dimensionality in high-dimensional spaces.
An Invariant Information Geometric Method for High-Dimensional Online Optimization
In this paper, we introduce a full invariance oriented evolution strategies algorithm, derived from its corresponding framework, that effectively rivals the leading Bayesian optimization method in tasks with dimensions at the upper limit of Bayesian capability.
Safe Policy Optimization with Local Generalized Linear Function Approximations
Safe exploration is a key to applying reinforcement learning (RL) in safety-critical systems.
