Angeliki Kamoutsi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Randomized Algorithm

Infinite Horizon

Reinforcement Learning

Top Venues

IEEE Control. Syst. Lett.

Publications

Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces. CoRR (2024)
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
Proximal Point Imitation Learning. CoRR (2022)
Angeliki Kamoutsi, Goran Banjac, John Lygeros
Stochastic convex optimization for provably efficient apprenticeship learning. CoRR (2022)
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
Proximal Point Imitation Learning. NeurIPS (2022)
Angeliki Kamoutsi, Goran Banjac, John Lygeros
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations. ICML (2021)
Angeliki Kamoutsi, Goran Banjac, John Lygeros
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations. CoRR (2021)
Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems. CoRR (2017)
Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems. IEEE Control. Syst. Lett. 1 (1) (2017)
Tobias Sutter, Angeliki Kamoutsi, Peyman Mohajerin Esfahani, John Lygeros
Data-driven approximate dynamic programming: A linear programming approach. CDC (2017)