Yash Satsangi
Yash Satsangi
Verified email at tilburguniversity.edu - Homepage
Title
Cited by
Cited by
Year
Exploiting submodular value functions for faster dynamic sensor selection
Y Satsangi, S Whiteson, F Oliehoek
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
282015
Exploiting submodular value functions for scaling up active perception
Y Satsangi, S Whiteson, FA Oliehoek, MTJ Spaan
Autonomous Robots 42 (2), 209-233, 2018
152018
An analysis of piecewise-linear and convex value functions for active perception POMDPs
Y Satsangi, S Whiteson, MTJ Spaan
IAS technical report, 2015
62015
PAC greedy maximization with efficient bounds on information gain for sensor selection
S Whiteson
52016
Maximizing Information Gain in Partially Observable Environments via Prediction Reward
Y Satsangi, S Lim, S Whiteson, F Oliehoek, M White
arXiv preprint arXiv:2005.04912, 2020
42020
Exploiting submodular value functions for faster dynamic sensor selection: Extended version
Y Satsangi, S Whiteson, FA Oliehoek
IAS technical reports, 2014
42014
Real-time resource allocation for tracking systems
Y Satsangi, S Whiteson, FA Oliehoek, H Bouma
arXiv preprint arXiv:2010.03024, 2020
32020
Active perception for person tracking
Y Satsangi
12019
Useful Policy Invariant Shaping from Arbitrary Advice
P Behboudian, Y Satsangi, ME Taylor, A Harutyunyan, M Bowling
University of Alberta, 2020
2020
Probably Approximately Correct Greedy Maximization
Y Satsangi, S Whiteson, FA Oliehoek
arXiv preprint arXiv:1602.07860, 2016
2016
Exploiting Submodular Value Functions for Dynamic Sensor Selection
Y Satsangi, S Whiteson, F Oliehoek
Exploiting Submodular Value Functions for Dynamic Sensor Selection, 2015
2015
Exploiting Submodular Value Functions for Faster Dynamic Sensor
Y Satsangi, S Whiteson, FA Oliehoek
2014
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Download PDF
Y Satsangi, S Lim, S Whiteson, F Oliehoek, M White
1. Active Perception and Sensor Selection
Y SATSANGI
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Articles 1–14