| 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 | 428 | 2005 |
| 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 | 97 | 2019 |
| 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 | 33* | 2022 |
| 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 | 23 | 2021 |
| 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 | 17 | 2020 |
| 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 | 13 | 2020 |
| 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 | 11 | 2024 |
| 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 | 10 | 2022 |
| 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 | 10 | 2021 |
| A sensor network for traffic monitoring SY Cheung, S Coleri, B Dundar, S Ganesh, CW Tan, P Varaiya Plenary talk at IPSN 4, 2004 | 6 | 2004 |
| Learning and calibrating heterogeneous bounded rational market behaviour with multi-agent reinforcement learning BP Evans, S Ganesh arXiv preprint arXiv:2402.00787, 2024 | 5 | 2024 |
| 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 | 5 | 2008 |
| 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 | 5 | 2005 |
| A sensor network for traffic monitoring (plenary talk) SY Cheung, S Coleri, B Dundar, S Ganesh, CW Tan, P Varaiya The 3rd International Symposium on Information Processing in Sensor Networks …, 2004 | 5 | 2004 |
| Online MCMC thinning with kernelized Stein discrepancy A Koppel, J Eappen, S Bhatt, C Hawkins, S Ganesh SIAM Journal on Mathematics of Data Science 6 (1), 51-75, 2024 | 3 | 2024 |
| Sequential fair resource allocation under a markov decision process framework P Hassanzadeh, E Kreacic, S Zeng, Y Xiao, S Ganesh Proceedings of the Fourth ACM International Conference on AI in Finance, 673-680, 2023 | 3 | 2023 |
| 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 | 3 | 2022 |
| 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 | 3 | 2019 |
| Analysis of goal-directed human actions using optimal control models S Ganesh University of California, Berkeley, 2009 | 3 | 2009 |
| Efficient inverse multiagent learning D Goktas, A Greenwald, S Zhao, A Koppel, S Ganesh arXiv preprint arXiv:2502.14160, 2025 | 2 | 2025 |
Nelson VadoriJ.P. Morgan AI Researchכתובת אימייל מאומתת בדומיין jpmorgan.com
