Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael M. Bronstein, Marcello Restelli. Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. In Brian Williams 0001, Yiling Chen 0001, Jennifer Neville, editors, Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023. pages 9251-9259, AAAI Press, 2023. [doi]
@inproceedings{MuttiSRCBR23, title = {Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization}, author = {Mirco Mutti and Riccardo De Santi and Emanuele Rossi and Juan Felipe Calderón and Michael M. Bronstein and Marcello Restelli}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/26109}, researchr = {https://researchr.org/publication/MuttiSRCBR23}, cites = {0}, citedby = {0}, pages = {9251-9259}, booktitle = {Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023}, editor = {Brian Williams 0001 and Yiling Chen 0001 and Jennifer Neville}, publisher = {AAAI Press}, isbn = {978-1-57735-880-0}, }