Search Results for author: Vivek Myers

Found 4 papers, 2 papers with code

Active Reward Learning from Online Preferences

no code implementations27 Feb 2023 Vivek Myers, Erdem Biyik, Dorsa Sadigh

Robot policies need to adapt to human preferences and/or new environments.

Bayesian Meta-Learning Through Variational Gaussian Processes

1 code implementation21 Oct 2021 Vivek Myers, Nikhil Sardana

This problem setting can be extended to the Bayesian context, wherein rather than predicting a single label for each query data point, a model predicts a distribution of labels capturing its uncertainty.

Gaussian Processes Meta-Learning

Learning Multimodal Rewards from Rankings

no code implementations27 Sep 2021 Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh

However, expert feedback is often assumed to be drawn from an underlying unimodal reward function.

A Hierarchical Approach to Scaling Batch Active Search Over Structured Data

1 code implementation20 Jul 2020 Vivek Myers, Peyton Greenside

As modern data sets grow, so does the need to scale active search to large data sets and batch sizes.

Bayesian Optimization

Cannot find the paper you are looking for? You can Submit a new open access paper.