71 citations · 264 across the 22 of their papers we have counts for
4 papers · 1 filter
Efficient Model Performance Estimation via Feature Histories
Shengcao Cao, Xiaofang Wang, Kris Kitani
An important step in the task of neural network design, such as hyper-parameter optimization (HPO) or neural architecture search (NAS), is the evaluation of a candidate model's per…
Inverse Reinforcement Learning with Explicit Policy Estimates
Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma +2
Various methods for solving the inverse reinforcement learning (IRL) problem have been developed independently in machine learning and economics. In particular, the method of Maxim…
DeepBLE: Generalizing RSSI-based Localization Across Different Devices
Harsh Agarwal, Navyata Sanghvi, Vivek Roy +1
Accurate smartphone localization (< 1-meter error) for indoor navigation using only RSSI received from a set of BLE beacons remains a challenging problem, due to the inherent noise…
Personalized Dynamics Models for Adaptive Assistive Navigation Systems
Eshed Ohn-Bar, Kris Kitani, Chieko Asakawa
Consider an assistive system that guides visually impaired users through speech and haptic feedback to their destination. Existing robotic and ubiquitous navigation technologies (e…