Alessio Russo
About Me
I am a researcher in Reinforcement Learning and Control methodology. Currently a Postdoc at Boston University, where I’m advised by Prof. Pacchiano Aldo.
- I have a Ph.D. in Electrical Engineering from KTH Royal Insitute of Technology (Stockholm), where I was supervised by Prof. Proutiere Alexandre at the Division of Decision and Control Systems.
- Due to my past experiences, and interests, I have a versatile background, with both theoretical and practical expertise.
My research interests are in statistical learning, particularly in the areas of learning for sequential decision making. I have also an interest in Robust Control and Robust Reinforcement Learning.
Broadly, my agenda is to uncover the building blocks of adaptive algorithms and translating theoretical insights into reliable algorithms with practical impact.
Recent News
- [Oct. 2025] I was awarded the NCCR Research Fellowship 2025. I will spend a few months visiting the lab of Prof. Krause at ETH.
- [Oct. 2025] I was recognized as a NeurIPS 2025 Top Reviewer (Top 10%)
- [Sept. 2025] “Adversarial Diffusion for Robust Reinforcement Learning” has been accepted as a poster to NeurIPS 2025 (San Diego, USA).
- [Sept. 2025] “In-Context Pure Exploration” has been accepted to the NY-RL workshop @ NY-RL 2025 (New York, USA)
- [Jun. 2025] “In-Context Pure Exploration” has been accepted to the EXAIT workshop @ ICML 2025 (Vancouver, Canada)
- [Jun. 2025] I am presenting “Optimal Exploration With Feedback Graphs” at Informs APS 2025, in Atlanta.
Recent Publications (and preprints)
-
NeurIPS
-
Arxiv
-
ICML
-
AISTATS
Powered by Jekyll and Minimal Light theme.