Angeliki Kamoutsi

PhD student, ETHZ - ETH Zurich

Joined

March 2022

Names

Angeliki Kamoutsi (Preferred)

Emails

****@control.ee.ethz.ch (Confirmed)

****@epfl.ch (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

PhD student

ETHZ - ETH Zurich (ethz.ch)

2016 – Present

Advisors, Relations & Conflicts

PhD Advisor

John Lygeros

Present

Expertise

No areas of expertise listed

Publications

Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros
- NeurIPS 2024 poster
- Readers: Everyone
Proximal Point Imitation Learning
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
- Published: 20 Jul 2023, Last Modified: 08 Jun 2025
- EWRL16
- Readers: Everyone
Proximal Point Imitation Learning
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Stochastic convex optimization for provably efficient apprenticeship learning
Angeliki Kamoutsi, Goran Banjac, John Lygeros
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Proximal Point Imitation Learning
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- NeurIPS 2022
- Readers: Everyone
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
Angeliki Kamoutsi, Goran Banjac, John Lygeros
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- ICML 2021
- Readers: Everyone
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems
Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros
- 2017 (modified: 16 May 2023)
- IEEE Control. Syst. Lett. 2017
- Readers: Everyone
Data-driven approximate dynamic programming: A linear programming approach
Tobias Sutter, Angeliki Kamoutsi, Peyman Mohajerin Esfahani, John Lygeros
- 2017 (modified: 16 May 2023)
- CDC 2017
- Readers: Everyone