| Automatic extraction of axioms for planning S Miura, A Fukunaga Proceedings of the International Conference on Automated Planning and …, 2017 | 13 | 2017 |
| Maximizing plan legibility in stochastic environments S Miura, S Zilberstein Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 11 | 2020 |
| A unifying framework for observer-aware planning and its complexity S Miura, S Zilberstein Uncertainty in Artificial Intelligence, 610-620, 2021 | 10 | 2021 |
| Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints K Kasaura, S Miura, T Kozuno, R Yonetani, K Hoshino, Y Hosoe IEEE Robotics and Automation Letters, 2023 | 6 | 2023 |
| Maximizing legibility in stochastic environments S Miura, AL Cohen, S Zilberstein 2021 30th IEEE International Conference on Robot & Human Interactive …, 2021 | 5 | 2021 |
| On the Expressivity of Multidimensional Markov Reward S Miura RLDM Workshop RL as Agency, 2022 | 3 | 2022 |
| Automatically extracting axioms in classical planning S Miura, A Fukunaga Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 3 | 2017 |
| Axioms in model-based planners S Miura, A Fukunaga arXiv preprint arXiv:1703.03916, 2017 | 1 | 2017 |
| Beyond Markov Decision Process with Scalar Markovian Rewards S Miura Proceedings of the International Symposium on Combinatorial Search 15 (1 …, 2022 | | 2022 |
| Heuristic Search for SSPs with Lexicographic Preferences over Multiple Costs S Miura, KH Wray, S Zilberstein Proceedings of the International Symposium on Combinatorial Search 15 (1 …, 2022 | | 2022 |
Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
