Follow
Mengda Xu
Mengda Xu
Columbia University; J.P.Morgan AI Research
Verified email at columbia.edu
Title
Cited by
Cited by
Year
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
Xskill: Cross embodiment skill discovery
M Xu, Z Xu, C Chi, M Veloso, S Song
Conference on Robot Learning, 3536-3555, 2023
92023
ASPire: Adaptive skill priors for reinforcement learning
M Xu, M Veloso, S Song
Advances in Neural Information Processing Systems 35, 38600-38613, 2022
62022
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
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
Mixture of basis for interpretable continual learning with distribution shifts
P Pasula, M Xu, S Ganesh
12022
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
The system can't perform the operation now. Try again later.
Articles 1–10