| Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming B Say, G Wu, YQ Zhou, S Sanner IJCAI, 750-756, 2017 | 72 | 2017 |
| Scalable Planning with Tensorflow for Hybrid Nonlinear Domains G Wu, B Say, S Sanner Advances in Neural Information Processing Systems, 6273-6283, 2017 | 40 | 2017 |
| Scalable Planning with Deep Neural Network Learned Transition Models G Wu, B Say, S Sanner Journal of Artificial Intelligence Research 68, 571-606, 2020 | 31 | 2020 |
| Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models B Say, S Sanner IJCAI, 4815-4821, 2018 | 22 | 2018 |
| Theoretical and experimental results for planning with learned binarized neural network transition models B Say, J Devriendt, J Nordström, PJ Stuckey International Conference on Principles and Practice of Constraint …, 2020 | 14 | 2020 |
| Mathematical Programming Models for Optimizing Partial-Order Plan Flexibility B Say, AA Cire, JC Beck ECAI, 1044-1052, 2016 | 14 | 2016 |
| Compact and efficient encodings for planning in factored state and action spaces with learned Binarized Neural Network transition models B Say, S Sanner Artificial Intelligence 285, 103291, 2020 | 12 | 2020 |
| A Unified Framework for Planning with Learned Neural Network Transition Models B Say Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5016-5024, 2021 | 10 | 2021 |
| Metric Hybrid Factored Planning in Nonlinear Domains with Constraint Generation B Say, S Sanner International Conference on Integration of Constraint Programming …, 2019 | 7 | 2019 |
| Optimal Planning with Learned Neural Network Transition Models B Say University of Toronto (Canada), 2020 | 5 | 2020 |
| Reward Potentials for Planning with Learned Neural Network Transition Models B Say, S Sanner, S Thiébaux International Conference on Principles and Practice of Constraint …, 2019 | 5 | 2019 |
| Metric Nonlinear Hybrid Planning with Constraint Generation B Say, S Sanner PlanSOpt 2018, 19, 2018 | 5 | 2018 |
| Symbolic Bucket Elimination for Piecewise Continuous Constrained Optimization Z Ye, B Say, S Sanner International Conference on the Integration of Constraint Programming …, 2018 | 3 | 2018 |
| Robust Metric Hybrid Planning in Stochastic Nonlinear Domains Using Mathematical Optimization B Say Proceedings of the International Conference on Automated Planning and …, 2023 | 2 | 2023 |
| A Metric Hybrid Planning Approach to Solving Pandemic Planning Problems with Simple SIR Models A Gestetner, B Say arXiv preprint arXiv:2409.11631, 2024 | | 2024 |
| Rapid Identification of Protein Formulations with Bayesian Optimisation V Huynh, B Say, P Vogel, L Cao, GI Webb, A Aleti 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
| Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming S Tule, NHL Le, B Say 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 838-845, 2022 | | 2022 |
| Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021 B Say, S Sanner, J Devriendt, J Nordström, PJ Stuckey arXiv preprint arXiv:2108.00633, 2021 | | 2021 |
| Mixed-Integer Linear Programming Models for Least-Commitment Partial-Order Planning B Say University of Toronto (Canada), 2017 | | 2017 |
| Deriving Pandemic Disease Mitigation Strategies by Mining Social Contact Networks M Ventresca, A Szatan, B Say, D Aleman Optimization, Control, and Applications in the Information Age, 359-381, 2015 | | 2015 |
Scott SannerUniversity of TorontoEmail được xác minh tại mie.utoronto.ca
