I am a Postdoctoral Associate at Massachusetts Institute of Technology advised by Prof. Priya Donti, in the Laboratory for Information & Decision Systems. Previously I was a Postdoctoral Associate with Prof. Christopher Amato at Northeastern University, and a Ph.D. student at the University of Verona, with Prof. Alessandro Farinelli.
My research interests are driven by the impact that Deep Reinforcement Learning (RL) could have in real-world domains, where effective exploration, safety, and asynchronous execution are key requirements for autonomous learning agents. Hence, I focus on developing Deep RL algorithms aimed at tackling these fundamental challenges in simulation, multi-agent systems, and realistic applications. I am currently working on safe and asynchronous multi-agent RL and will focus on its applications to power systems during my Postdoc.
Outside of work, I spend time climbing and hiking.
- In International Conference on Learning Representations (ICLR), 2023
- Exploring Safer Behaviors for Deep Reinforcement LearningProceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022
- Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless NavigationIn IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
- ICLRGenetic Soft Updates for Policy Evolution in Deep Reinforcement LearningIn International Conference on Learning Representations (ICLR), 2021