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Sihan Zeng
Sihan Zeng
JPMorgan AI Research
Verified email at jpmchase.com
Title
Cited by
Cited by
Year
A decentralized policy gradient approach to multi-task reinforcement learning
S Zeng, MA Anwar, TT Doan, A Raychowdhury, J Romberg
Uncertainty in Artificial Intelligence, 1002-1012, 2021
462021
A reinforcement learning approach to parameter selection for distributed optimal power flow
S Zeng, A Kody, Y Kim, K Kim, DK Molzahn
Electric Power Systems Research 212, 108546, 2022
26*2022
Finite-time complexity of online primal-dual natural actor-critic algorithm for constrained Markov decision processes
S Zeng, TT Doan, J Romberg
2022 IEEE 61st Conference on Decision and Control (CDC), 4028-4033, 2022
222022
A two-time-scale stochastic optimization framework with applications in control and reinforcement learning
S Zeng, TT Doan, J Romberg
SIAM Journal on Optimization 34 (1), 946-976, 2024
212024
Fast compressive sensing recovery using generative models with structured latent variables
S Xu, S Zeng, J Romberg
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
212019
Regularized gradient descent ascent for two-player zero-sum Markov games
S Zeng, T Doan, J Romberg
Advances in Neural Information Processing Systems 35, 34546-34558, 2022
202022
Finite-time analysis of decentralized stochastic approximation with applications in multi-agent and multi-task learning
S Zeng, TT Doan, J Romberg
2021 60th IEEE Conference on Decision and Control (CDC), 2641-2646, 2021
182021
Finite-time convergence rates of decentralized stochastic approximation with applications in multi-agent and multi-task learning
S Zeng, TT Doan, J Romberg
IEEE Transactions on Automatic Control 68 (5), 2758-2773, 2022
112022
Fast two-time-scale stochastic gradient method with applications in reinforcement learning
S Zeng, T Doan
The Thirty Seventh Annual Conference on Learning Theory, 5166-5212, 2024
42024
Connected superlevel set in (deep) reinforcement learning and its application to minimax theorems
S Zeng, T Doan, J Romberg
Advances in Neural Information Processing Systems 36, 20146-20163, 2023
42023
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
22023
A Single-Loop Finite-Time Convergent Policy Optimization Algorithm for Mean Field Games (and Average-Reward Markov Decision Processes)
S Zeng, S Bhatt, A Koppel, S Ganesh
arXiv preprint arXiv:2408.04780, 2024
12024
A Policy Optimization Approach to the Solution of Unregularized Mean Field Games
S Zeng, S Bhatt, A Koppel, S Ganesh
ICML 2024 Workshop: Foundations of Reinforcement Learning and Control …, 2024
12024
Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach
S Zeng, S Bhatt, E Kreacic, P Hassanzadeh, A Koppel, S Ganesh
arXiv preprint arXiv:2311.10927, 2023
12023
Approximate Equivariance in Reinforcement Learning
JY Park, S Bhatt, S Zeng, LLS Wong, A Koppel, S Ganesh, R Walters
arXiv e-prints, arXiv: 2411.04225, 2024
2024
ADAGE-Diff: Two-level adaptive agent based modelling for differentiable policy design
BP Evans, S Zeng, S Ganesh, L Ardon
NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations …, 2024
2024
Partially Observable Contextual Bandits with Linear Payoffs
S Zeng, S Bhatt, A Koppel, S Ganesh
arXiv preprint arXiv:2409.11521, 2024
2024
Accelerated Multi-Time-Scale Stochastic Approximation: Optimal Complexity and Applications in Reinforcement Learning and Multi-Agent Games
S Zeng, TT Doan
arXiv preprint arXiv:2409.07767, 2024
2024
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints
S Zeng, Y Kim, Y Ren, K Kim
6th Annual Learning for Dynamics & Control Conference 242, 1539-1551, 2024
2024
Method and system for sequential resource allocation
Z Sihan, P Hassanzadeh, E Kreacic, S Ganesh
US Patent App. 18/232,053, 2024
2024
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