Constrained policy optimization: A tale of regularization and optimism IFAC Workshop on Contextual Control: Integrating Learning, Optimization, and Physical Structures in Control Systems, Busan, Korea, 2026 Note: paper.
Controllable generative diffusion models: A constrained optimization view Yusu Wang’s Group Seminar, University of California, San Diego, 2026 Note: paper and paper.
Constrained policy optimization for large language model alignment Statistics and Data Science Seminar, University of Tennessee, Knoxville, 2025 Note: paper and paper.
Constrained policy optimization for large language model alignment SIAM New York-New Jersey-Pennsylvania Section Conference, PSU, 2025 Note: paper.
Requirement-driven machine decision-making: From reinforcement learning to generative artificial intelligence EECS Faculty Candidate Seminar, University of Tennessee, Knoxville, 2025 Note: Overview of my research agenda on requirement-driven AI.
Multi-agent reinforcement learning for large-scale Markov potential games Workshop on Multi-Agent Learning in Dynamic Environments, Texas A&M Institute of Data Science, TAMU, 2024 ESE PhD Colloquium, UPenn, 2024 Note: paper.
Constrained policy optimization: A tale of regularization and optimism INFORMS Optimization Society Conference, Houston, Texas, 2024 ESE PhD Colloquium, UPenn, 2023 Note: paper.
Provable constrained policy optimization in reinforcement learning Safe Reinforcement Learning Online Seminar, Virtual, 2023 Note: paper and paper.
Finite-time performance of policy optimization methods for constrained reinforcement learning INFORMS 2022 Annual Meeting, Indianapolis, Indiana, 2022 Note: paper and paper.