| 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 | 79 | 2019 |
| 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 | 16 | 2021 |
| Xskill: Cross embodiment skill discovery M Xu, Z Xu, C Chi, M Veloso, S Song Conference on Robot Learning, 3536-3555, 2023 | 9 | 2023 |
| ASPire: Adaptive skill priors for reinforcement learning M Xu, M Veloso, S Song Advances in Neural Information Processing Systems 35, 38600-38613, 2022 | 7 | 2022 |
| 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 | 4 | 2024 |
| 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 | 2 | 2019 |
| Mixture of basis for interpretable continual learning with distribution shifts P Pasula, M Xu, S Ganesh | 1 | 2022 |
| O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models Y Xiao, Y Sun, M Xu, U Madhushani, J Vann, D Garg, S Ganesh arXiv preprint arXiv:2310.14403, 2023 | | 2023 |
| Method and system for simulation and calibration of markets N Vadori, S Ganesh, XU Mengda, PP Reddy, MM Veloso US Patent App. 17/451,720, 2022 | | 2022 |
| Mixture of basis for interpretable continual learning with distribution shifts M Xu, S Ganesh, P Pasula arXiv preprint arXiv:2201.01853, 2022 | | 2022 |
