Seuraa
Sumitra Ganesh
Sumitra Ganesh
Research Director, J.P.Morgan AI Research
Vahvistettu sähköpostiosoite verkkotunnuksessa jpmorgan.com
Nimike
Viittaukset
Viittaukset
Vuosi
Traffic measurement and vehicle classification with single magnetic sensor
SY Cheung, S Coleri, B Dundar, S Ganesh, CW Tan, P Varaiya
Transportation research record 1917 (1), 173-181, 2005
4102005
sktime: A unified interface for machine learning with time series
M Löning, A Bagnall, S Ganesh, V Kazakov, J Lines, FJ Király
arXiv preprint arXiv:1909.07872, 2019
2592019
Reinforcement learning for market making in a multi-agent dealer market
S Ganesh, N Vadori, M Xu, H Zheng, P Reddy, M Veloso
arXiv preprint arXiv:1911.05892, 2019
792019
Towards a fully RL-based Market Simulator
L Ardon, N Vadori, T Spooner, M Xu, J Vann, S Ganesh
Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021
162021
Calibration of shared equilibria in general sum partially observable Markov games
N Vadori, S Ganesh, P Reddy, M Veloso
Advances in Neural Information Processing Systems 33, 14118-14128, 2020
142020
Certifiably robust policy learning against adversarial communication in multi-agent systems
Y Sun, R Zheng, P Hassanzadeh, Y Liang, S Feizi, S Ganesh, F Huang
arXiv preprint arXiv:2206.10158, 2022
112022
Certifiably robust policy learning against adversarial multi-agent communication
Y Sun, R Zheng, P Hassanzadeh, Y Liang, S Feizi, S Ganesh, F Huang
The Eleventh International Conference on Learning Representations, 2022
102022
Factored policy gradients: Leveraging structure for efficient learning in MOMDPs
T Spooner, N Vadori, S Ganesh
Advances in Neural Information Processing Systems 34, 5481-5493, 2021
102021
Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty
N Vadori, S Ganesh, P Reddy, M Veloso
Proceedings of the First ACM International Conference on AI in Finance, 1-9, 2020
102020
An Alternative to Superjunction High Voltage MOS Power Devices; Article dated Aug. 8, 2001
YC Liang, KP Gan, SS Ganesh, OB VDMOS
IEEE Electron Devices Letters 22 (8), 407-409, 0
9
A unified interface for machine learning with time series
M Löning, A Bagnall, S Ganesh, V Kazakov, J Lines, FJ Király
arXiv preprint arXiv:1909.07872, 2019
72019
A sensor network for traffic monitoring
SY Cheung, S Coleri, B Dundar, S Ganesh, CW Tan, P Varaiya
Plenary talk at IPSN 4, 2004
62004
Recognition of human actions using an optimal control based motor model
S Ganesh, R Bajcsy
2008 IEEE Workshop on Applications of Computer Vision, 1-6, 2008
52008
Traffic measurement and classification using a single magnetic sensor
SY Cheung, S Coleri, B Dundar, S Ganesh, CW Tan, P Varaiya
84th TRB Annual Meeting, Washington, DC January, 2005
52005
Towards multi‐agent reinforcement learning‐driven over‐the‐counter market simulations
N Vadori, L Ardon, S Ganesh, T Spooner, S Amrouni, J Vann, M Xu, ...
Mathematical Finance 34 (2), 262-347, 2024
42024
Phantom--A RL-driven multi-agent framework to model complex systems
L Ardon, J Vann, D Garg, T Spooner, S Ganesh
arXiv preprint arXiv:2210.06012, 2022
42022
Consensus multiplicative weights update: Learning to learn using projector-based game signatures
N Vadori, R Savani, T Spooner, S Ganesh
International Conference on Machine Learning, 21901-21926, 2022
32022
Analysis of goal-directed human actions using optimal control models
S Ganesh
University of California, Berkeley, 2009
32009
Multi-agent simulation for pricing and hedging in a dealer market
S Ganesh, N Vadori, M Xu, H Zheng, P Reddy, M Veloso
ICML’19 Workshop on AI in Finance, 2019
22019
Composition of dynamical systems for estimation of human body dynamics
S Ganesh, AD Ames, R Bajcsy
International Workshop on Hybrid Systems: Computation and Control, 702-705, 2007
22007
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Artikkelit 1–20