Zeng, Sihan

11 publications

AISTATS 2025 Approximate Equivariance in Reinforcement Learning Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L.S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters

AISTATS 2025 Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh

NeurIPS 2025 Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt, Leo Ardon, Sumitra Ganesh, Alec Koppel

ICMLW 2024 A Policy Optimization Approach to the Solution of Unregularized Mean Field Games Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh

NeurIPSW 2024 ADAGE-Diff: Two-Level Adaptive Agent Based Modelling for Differentiable Policy Design Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon

COLT 2024 Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning Sihan Zeng, Thinh Doan

L4DC 2024 QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim

TMLR 2024 Regularized Proportional Fairness Mechanism for Resource Allocation Without Money Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh

NeurIPS 2023 Connected Superlevel Set in (Deep) Reinforcement Learning and Its Application to Minimax Theorems Sihan Zeng, Thinh Doan, Justin Romberg

NeurIPS 2022 Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games Sihan Zeng, Thinh Doan, Justin Romberg

UAI 2021 A Decentralized Policy Gradient Approach to Multi-Task Reinforcement Learning Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan, Arijit Raychowdhury, Justin Romberg