| Planning for hybrid systems via satisfiability modulo theories M Cashmore, D Magazzeni, P Zehtabi Journal of Artificial Intelligence Research 67, 235-283, 2020 | 33 | 2020 |
| Robustness envelopes for temporal plans M Cashmore, A Cimatti, D Magazzeni, A Micheli, P Zehtabi Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7538-7545, 2019 | 10 | 2019 |
| Explaining preference-driven schedules: the expres framework A Pozanco, F Mosca, P Zehtabi, D Magazzeni, S Kraus Proceedings of the International Conference on Automated Planning and …, 2022 | 8 | 2022 |
| Optimal admission control for multiclass queues with time-varying arrival rates via state abstraction M Rigter, D Dervovic, P Hassanzadeh, J Long, P Zehtabi, D Magazzeni Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9918-9925, 2022 | 3 | 2022 |
| Robustness Envelopes for Temporal Plans D Magazzeni, M Cashmore, A Cimatti, A Micheli, P Zehtabi Proceedings of AAAI Conference on Artificial Intelligence (AAAI 2019), 2019 | 1 | 2019 |
| Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization F Acero, P Zehtabi, N Marchesotti, M Cashmore, D Magazzeni, M Veloso arXiv preprint arXiv:2403.16667, 2024 | | 2024 |
| Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates K Mana, F Acero, S Mak, P Zehtabi, M Cashmore, D Magazzeni, M Veloso Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20786 …, 2024 | | 2024 |
| Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization S Amiri, P Zehtabi, D Dervovic, M Cashmore arXiv preprint arXiv:2403.09925, 2024 | | 2024 |
| Method and system for solving reconciliation tasks by integrating clustering and optimization P Zehtabi, MA Mahfouz, D Borrajo, D Magazzeni, M Veloso, Y Wu, ... US Patent App. 17/661,211, 2023 | | 2023 |
| Contrastive Explanations of Multi-agent Optimization Solutions P Zehtabi, A Pozanco, A Bloch, D Borrajo, S Kraus arXiv preprint arXiv:2308.05984, 2023 | | 2023 |
| Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models S Mak, K Mana, P Zehtabi, M Cashmore, D Magazzeni, M Veloso arXiv preprint arXiv:2307.08816, 2023 | | 2023 |
| Method and system for space planning by artificial intelligence reasoning RMRT Da SILVA, A Pozanco, P Zehtabi, D Magazzeni, M Veloso US Patent App. 17/647,205, 2023 | | 2023 |
| Method and system for optimization of task management issue planning SH Alamir, A Pozanco, S Shah, D Magazzeni, D Borrajo, P Zehtabi, ... US Patent 11,681,963, 2023 | | 2023 |
| Method and system for providing dynamic workspace scheduler P Zehtabi, A Pozanco, RMRT Da SILVA, SH Alamir, D Borrajo, M Mahfouz, ... US Patent App. 17/450,609, 2023 | | 2023 |
| Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models K Mana, S Mak, P Zehtabi, M Cashmore, D Magazzeni, M Veloso FinPlan 2023, 12, 2023 | | 2023 |
| Efficient anytime computation and execution of decoupled robustness envelopes for temporal plans M Cashmore, A Cimatti, D Magazzeni, A Micheli, P Zehtabi TIME 2021-International Symposium on Temporal Representation and Reasoning, 2021 | | 2021 |
| Towards Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans M Cashmore, A Cimatti, D Magazzeni, A Micheli, P Zehtabi arXiv preprint arXiv:1911.07318, 2019 | | 2019 |
| Contrastive Explanations of Centralized Multi-agent Optimization Solutions P Zehtabi, A Pozanco, A Bolch, D Borrajo, S Kraus 34th International Conference on Automated Planning and Scheduling, 0 | | |
