Alessandro Ronca
Biografia
Alessandro Ronca holds a BSc and an MSc in Engineering in Computer Science from Sapienza University of Rome, and a DPhil in Computer Science from University of Oxford.
Contact: ronca@diag.uniroma1.it
Interessi di ricerca
Artificial Intelligence, Logic, Automata Theory, Reinforcement Learning, Learning Theory, Knowledge Representation and Reasoning, Neural Networks.
Riconoscimenti e premi
AAAI-21 Outstanding Program Committee Member
Membro di
Ultime pubblicazioni
| Automata Cascades: Expressivity and Sample Complexity in Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 | 2023 |
| Provably Efficient Offline Reinforcement Learning in Regular Decision Processes in Advances in Neural Information Processing Systems | 2023 |
| Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes in arXiv preprint | 2022 |
| The delay and window size problems in rule-based stream reasoning in ARTIFICIAL INTELLIGENCE | 2022 |
| Efficient PAC Reinforcement Learning in Regular Decision Processes in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021 | 2021 |