Selected Publications
Model-Free Non-Stationary Reinforcement Learning: Near-Optimal Regret and Applications in Multi-Agent Reinforcement Learning and Inventory Control. Management Science.
.
2023. Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism. To appear in Management Science.
.
2023. Meta Dynamic Pricing: Transfer Learning Across Experiments. To appear in Management Science.
.
2021. Is Model-Free Learning Nearly Optimal for Non-Stationary RL? To appear in ICML 2021.
.
2021. Hedging the Drift: Learning to Optimize Under Non-Stationarity. To appear in Management Science.
.
2020. .
2020. Learning to Optimize under Non-Stationarity. In Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019.
.
2019.