Research
My research focuses on Statistical Reinforcement Learning both online and offline.
Papers
Articles in refereed journals
- Zangirolami, V., and Borrotti, M. (2024). Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learning. Knowledge-Based Systems, 293.
Conferences
Invited talk
- Zangirolami, V. (2024). Enhancing data efficiency in online deep reinforcement learning under partial observability. 18th International Conference of the ERCIM WG on Computational and Methodological Statistics, 13–16 December 2024, London (UK).