171 citations · 937 across the 54 of their papers we have counts for
6 papers · 1 filter
Learning to Gather Information via Imitation
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade +1
The budgeted information gathering problem - where a robot with a fixed fuel budget is required to maximize the amount of information gathered from the world - appears in practice…
Probabilistic Safety Programs
Ashish Kapoor, Debadeepta Dey, Shital Shah
Achieving safe control under uncertainty is a key problem that needs to be tackled for enabling real-world autonomous robots and cyber-physical systems. This paper introduces Proba…
Risk-Aware Algorithms for Adversarial Contextual Bandits
Wen Sun, Debadeepta Dey, Ashish Kapoor
In this work we consider adversarial contextual bandits with risk constraints. At each round, nature prepares a context, a cost for each arm, and additionally a risk for each arm.…
No-Regret Replanning under Uncertainty
Wen Sun, Niteesh Sood, Debadeepta Dey +3
This paper explores the problem of path planning under uncertainty. Specifically, we consider online receding horizon based planners that need to operate in a latent environment wh…
Fast Second-order Cone Programming for Safe Mission Planning
Kai Zhong, Prateek Jain, Ashish Kapoor
This paper considers the problem of safe mission planning of dynamic systems operating under uncertain environments. Much of the prior work on achieving robust and safe control req…
Quantum Perceptron Models
Nathan Wiebe, Ashish Kapoor, Krysta M Svore
We demonstrate how quantum computation can provide non-trivial improvements in the computational and statistical complexity of the perceptron model. We develop two quantum algorith…