"Competitive Caching with Machine Learned Advice."

Lykouris, Thodoris and Sergei Vassilvitskii. Journal of the ACM Vol. 68, No. 4 (2021): 1-25. Video.

"Corruption-robust Exploration in Episodic Reinforcement Learning."

Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, and Wen Sun. In In 34th Annual Conference on Learning Theory (COLT 2021), August 2021.

"Contextual Search in the Presence of Irrational Agents."

Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, and Robert Schapire. In 53rd Annual ACM Symposium on the Theory of Computing (STOC 2021), New York, NY: June 2021.

"Constrained Episodic Reinforcement Learning in Concave-convex and Knapsack Settings."

Kianté Brantley, Miroslav Dudik, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, and Wen Sun. In Proceedings of the 34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego, CA: December 2020.

"Bandits with Adversarial Scaling."

Thodoris Lykouris, Vahab Mirrokni, and Renato Paes Leme. In Proceedings of the 37th International Conference on Machine Learning (ICML 2020), San Diego, CA: July 2020.

"Feedback Graph Regret Bounds for Thompson Sampling and UCB."

Thodoris Lykouris, Éva Tardos, and Drishti Wali. In Proceedings of the 31st International Conference on Algorithmic Learning Theory (ALT 2020), San Diego, CA: February 2020.