Alexandre Megretski

Full Professor, Massachusetts Institute of Technology

Joined

July 2019

Names

Alexandre Megretski (Preferred)

Emails

****@mit.edu (Confirmed)

Personal Links

Homepage

Career & Education History

Full Professor

Massachusetts Institute of Technology (mit.edu)

2000 – Present

Advisors, Relations & Conflicts

PhD Advisee

Tanovic, Omer

2011 – 2019

Expertise

Optimization

Present

Nonlinear systems

Present

Operator theory

Present

Dynamical systems and control

Present

Publications

ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
- ICML 2023 Poster
- Readers: Everyone
On the Fast Convergence of Unstable Reinforcement Learning Problems
Wang Zhang, Lam M. Nguyen, Subhro Das, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Imposing conservation properties in deep dynamics modeling via contrastive learning
Wang Zhang, Subhro Das, Tsui-Wei Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Fast Convergence for Unstable Reinforcement Learning Problems by Logarithmic Mapping
Wang Zhang, Lam M. Nguyen, Subhro Das, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Efficient Certification for Probabilistic Robustness
Victor Rong, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Tactics on Refining Decision Boundary for Improving Certification-based Robust Training
Wang Zhang, Lam M. Nguyen, Subhro Das, Pin-Yu Chen, Sijia Liu, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Robust Deep Reinforcement Learning through Adversarial Loss
Tuomas Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng
- Published: 09 Nov 2021, Last Modified: 22 Oct 2023
- NeurIPS 2021 Poster
- Readers: Everyone

Alexandre Megretski

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction

On the Fast Convergence of Unstable Reinforcement Learning Problems

Imposing conservation properties in deep dynamics modeling via contrastive learning

Fast Convergence for Unstable Reinforcement Learning Problems by Logarithmic Mapping

Efficient Certification for Probabilistic Robustness

Tactics on Refining Decision Boundary for Improving Certification-based Robust Training

Robust Deep Reinforcement Learning through Adversarial Loss

Co-Authors