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Yash Satsangi
Yash Satsangi
JPMC
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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
352015
Exploiting submodular value functions for scaling up active perception
Y Satsangi, S Whiteson, FA Oliehoek, MTJ Spaan
Autonomous Robots 42 (2), 209-233, 2018
282018
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
132020
Useful policy invariant shaping from arbitrary advice
P Behboudian, Y Satsangi, ME Taylor, A Harutyunyan, M Bowling
arXiv preprint arXiv:2011.01297, 2020
102020
Policy invariant explicit shaping: an efficient alternative to reward shaping
P Behboudian, Y Satsangi, ME Taylor, A Harutyunyan, M Bowling
Neural Computing and Applications, 1-14, 2022
62022
PAC greedy maximization with efficient bounds on information gain for sensor selection
S Whiteson
52016
An analysis of piecewise-linear and convex value functions for active perception POMDPs
Y Satsangi, S Whiteson, MTJ Spaan
IAS technical report, 2015
52015
Exploiting submodular value functions for faster dynamic sensor selection: Extended version
Y Satsangi, S Whiteson, FA Oliehoek
IAS technical reports, 2014
42014
Learning to Be Cautious
M Mohammedalamen, D Morrill, A Sieusahai, Y Satsangi, M Bowling
arXiv preprint arXiv:2110.15907, 2021
32021
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
22019
Systems and methods for risk diagnosis of cryptocurrency addresses on blockchains using anonymous and public information
ZHI Xiaoying, Y Satsangi, S Eloul, S Moran, A Stoliar, H Khaykovich, ...
US Patent App. 18/333,927, 2023
2023
An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning
N Ghalyan, K Gourgoulias, Y Satsangi, S Moran, M Labonne, J Sabelja
arXiv preprint arXiv:2305.15016, 2023
2023
Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning
Y Satsangi, P Behboudian
arXiv preprint arXiv:2304.07163, 2023
2023
Systems and methods for code repository embedding for tagging and summarization tasks using attention on multiple code domains
S Eloul, A Lhérondelle, S Moran, F Silavong, Y Satsangi
US Patent App. 17/821,643, 2023
2023
Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning
X Zhi, Y Satsangi, S Moran, S Eloul
Proceedings of the 31st ACM International Conference on Information …, 2022
2022
Topical: Learning Repository Embeddings from Source Code using Attention
A Lherondelle, V Babbar, Y Satsangi, F Silavong, S Eloul, S Moran
arXiv preprint arXiv:2208.09495, 2022
2022
Maximizing Information Gain in Partially Observable Environments via Prediction Rewards
S Lim, Y Satsangi, S Whiteson, FA Oliehoek, M White
2020
Probably Approximately Correct Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection
Y Satsangi, S Whiteson, FA Oliehoek
arXiv preprint arXiv:1602.07860, 2016
2016
Probably Approximately Correct Greedy Maximization
Y Satsangi, S Whiteson, FA Oliehoek
AAMAS'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON AUTONOMOUS …, 2016
2016
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Articles 1–20