Pragnya Alatur

PhD student, Department of Computer Science, ETHZ - ETH Zurich

Joined

May 2022

Names

Pragnya Alatur (Preferred)

Emails

****@inf.ethz.ch (Confirmed)

Personal Links

Career & Education History

PhD student

Department of Computer Science, ETHZ - ETH Zurich (inf.ethz.ch)

2021 – Present

MS student

Department of Computer Science, ETHZ - ETH Zurich (inf.ethz.ch)

2016 – 2018

Advisors, Relations & Conflicts

PhD Advisor

2021 – Present

PhD Advisor

2021 – Present

Expertise

Reinforcement Learning

2021 – Present

Multi-Agent Reinforcement Learning

2021 – Present

Publications

Truly No-Regret Learning in Constrained MDPs
Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He
- EWRL17
- Readers: Everyone
Truly No-Regret Learning in Constrained MDPs
Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He
- FoRLaC Poster
- Readers: Everyone
Truly No-Regret Learning in Constrained MDPs
Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He
- ICML 2024 Spotlight
- Readers: Everyone
Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes
Adrian Müller, Pragnya Alatur, Giorgia Ramponi, Niao He
- Published: 20 Jul 2023, Last Modified: 30 Aug 2023
- EWRL16
- Readers: Everyone
Provably Learning Nash Policies in Constrained Markov Potential Games
Pragnya Alatur, Giorgia Ramponi, Niao He, Andreas Krause
- Published: 20 Jul 2023, Last Modified: 31 Aug 2023
- EWRL16
- Readers: Everyone
Multi-Player Bandits: The Adversarial Case
Pragnya Alatur, Kfir Y. Levy, Andreas Krause
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- J. Mach. Learn. Res. 2020
- Readers: Everyone
Multi-Player Bandits: The Adversarial Case
Pragnya Alatur, Kfir Y. Levy, Andreas Krause
- 2019 (modified: 26 Jan 2025)
- CoRR 2019
- Readers: Everyone

Co-Authors