Scaling data-driven robotics with reward sketching and batch reinforcement learning
S Cabi, SG Colmenarejo, A Novikov… - ar** strategies
We present a framework that enables the discovery of diverse and natural-looking motion
strategies for athletic skills such as the high jump. The strategies are realized as control …
strategies for athletic skills such as the high jump. The strategies are realized as control …
Investigating positive and negative qualities of human-in-the-loop optimization for designing interaction techniques
Designers reportedly struggle with design optimization tasks where they are asked to find a
combination of design parameters that maximizes a given set of objectives. In HCI, design …
combination of design parameters that maximizes a given set of objectives. In HCI, design …
A general recipe for likelihood-free Bayesian optimization
The acquisition function, a critical component in Bayesian optimization (BO), can often be
written as the expectation of a utility function under a surrogate model. However, to ensure …
written as the expectation of a utility function under a surrogate model. However, to ensure …
BO as assistant: Using Bayesian optimization for asynchronously generating design suggestions
Many design tasks involve parameter adjustment, and designers often struggle to find
desirable parameter value combinations by manipulating sliders back and forth. For such a …
desirable parameter value combinations by manipulating sliders back and forth. For such a …
Human-in-the-loop differential subspace search in high-dimensional latent space
Generative models based on deep neural networks often have a high-dimensional latent
space, ranging sometimes to a few hundred dimensions or even higher, which typically …
space, ranging sometimes to a few hundred dimensions or even higher, which typically …
Gesture knitter: A hand gesture design tool for head-mounted mixed reality applications
Hand gestures are a natural and expressive input method enabled by modern mixed reality
headsets. However, it remains challenging for developers to create custom gestures for their …
headsets. However, it remains challenging for developers to create custom gestures for their …
Method for exploring generative adversarial networks (gans) via automatically generated image galleries
Generative Adversarial Networks (GANs) can automatically generate quality images from
learned model parameters. However, it remains challenging to explore and objectively …
learned model parameters. However, it remains challenging to explore and objectively …
Photographic lighting design with photographer-in-the-loop bayesian optimization
It is important for photographers to have the best possible lighting configuration at the time of
shooting; otherwise, they need post-processing on images, which may cause artifacts and …
shooting; otherwise, they need post-processing on images, which may cause artifacts and …