6 citations · 6 across the 3 of their papers we have counts for
4 papers
Uncovering Systemic and Environment Errors in Autonomous Systems Using Differential Testing
Yashwanthi Anand, Rahil P Mehta, Manish Motwani +1
When an autonomous agent behaves undesirably, including failure to complete a task, it can be difficult to determine whether the behavior is due to a systemic agent error, such as…
Multi-Objective Planning with Contextual Lexicographic Reward Preferences
Pulkit Rustagi, Yashwanthi Anand, Sandhya Saisubramanian
Autonomous agents are often required to plan under multiple objectives whose preference ordering varies based on context. The agent may encounter multiple contexts during its cours…
Adaptive Querying for Reward Learning from Human Feedback
Yashwanthi Anand, Nnamdi Nwagwu, Kevin Sabbe +2
Learning from human feedback is a popular approach to train robots to adapt to user preferences and improve safety. Existing approaches typically consider a single querying (intera…
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps
Donald Bertucci, Md Montaser Hamid, Yashwanthi Anand +4
In this paper, we present DendroMap, a novel approach to interactively exploring large-scale image datasets for machine learning (ML). ML practitioners often explore image datasets…