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: arXiv:2206.02346 and paper.
Finite-time performance of policy optimization methods for constrained reinforcement learning INFORMS 2022 Annual Meeting, Indianapolis, Indiana, 2022 Note: paper and arXiv:2206.02346.