Publications

Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees
Siliang Zeng, Mingyi Hong, Alfredo Garcia
Under major revision at Operations Research.

On the Divergence of Decentralized Non-Convex Optimization
Mingyi Hong, Siliang Zeng, Junyu Zhang, Haoran Sun
SIAM Journal on Optimization

Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
Siliang Zeng*, Chenliang Li*, Alfredo Garcia, Mingyi Hong
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023). (Oral: 0.5% [67/12343] )

A Bayesian Approach to Robust Inverse Reinforcement Learning
Ran Wei, Siliang Zeng, Chenliang Li, Alfredo Garcia, Anthony D McDonald, Mingyi Hong
The Conference on Robot Learning (CoRL) 2023.
(A previous version accepted by First Workshop on Theory of Mind in Communicating Agents at ICML 2023)

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022).
(A previous version accepted by Decision Awareness in Reinforcement Learning Workshop at ICML 2022)

A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022).

Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
Siliang Zeng, Tianyi Chen, Alfredo Garcia, Mingyi Hong
4th Annual Learning for Dynamics & Control Conference (L4DC 2022).

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang.
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021).

Multi-Agent Reinforcement Learning for Adaptive Routing: A Hybrid Method using Eligibility Traces
Siliang Zeng, Xingfei Xu, Yi Chen
2020 IEEE 16th International Conference on Control & Automation (ICCA)

Network-Level System Performance Prediction Using Deep Neural Networks with Cross-Layer Information
Qi Cao, Siliang Zeng, Man-On Pun, Yi Chen
IEEE International Conference on Communications (ICC) 2020