| Explainable Reinforcement Learning: A Survey and Comparative Review S Milani, N Topin, M Veloso, F Fang ACM Computing Surveys, 2023 | 112* | 2023 |
| Neurips 2019 competition: The MineRL competition on sample efficient reinforcement learning using human priors WH Guss, C Codel*, K Hofmann*, B Houghton*, N Kuno*, S Milani*, ... NeurIPS Competition Track, 2019 | 107* | 2019 |
| Uni [mask]: Unified inference in sequential decision problems M Carroll, O Paradise, J Lin, R Georgescu, M Sun, D Bignell, S Milani, ... Advances in neural information processing systems 35, 35365-35378, 2022 | 38* | 2022 |
| Harnessing the Power of Deception in Attack Graph-Based Security Games S Milani, W Shen, KS Chan, S Venkatesan, NO Leslie, C Kamhoua, ... Decision and Game Theory for Security: 11th International Conference …, 2020 | 34 | 2020 |
| Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods N Topin, S Milani, F Fang, M Veloso 35th AAAI Conference on Artificial Intelligence, 2021 | 33 | 2021 |
| Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning S Milani, N Topin, B Houghton, WH Guss, SP Mohanty, O Vinyals, ... Proceedings of Machine Learning Research: NeurIPS 2019 Competition …, 2020 | 33* | 2020 |
| Minerl diamond 2021 competition: Overview, results, and lessons learned A Kanervisto*, S Milani*, K Ramanauskas, N Topin, Z Lin, J Li, J Shi, D Ye, ... NeurIPS 2021 Competitions and Demonstrations Track, 13-28, 2022 | 31* | 2022 |
| The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors WH Guss, MY Castro*, S Devlin*, B Houghton*, NS Kuno*, C Loomis*, ... NeurIPS Competition Track, 2021 | 29* | 2021 |
| Perceptions of Domestic Robots’ Normative Behavior Across Cultures H Li, S Milani, V Krishnamoorthy, M Lewis, K Sycara AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2019 | 27 | 2019 |
| The MineRL BASALT Competition on Learning from Human Feedback R Shah, C Wild, SH Wang, N Alex, B Houghton, W Guss, S Mohanty, ... arXiv preprint arXiv:2107.01969, 2021 | 26 | 2021 |
| MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning S Milani*, Z Zhang*, N Topin, ZR Shi, C Kamhoua, EE Papalexakis, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 16* | 2022 |
| PATIENT-𝜓: Using Large Language Models to Simulate Patients for Training Mental Health Professionals R Wang*, S Milani*, J Chiu, J Zhi, S Eack, T Labrum, S Murphy, N Jones, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 13* | 2024 |
| Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition S Milani, A Kanervisto, K Ramanauskas, S Schulhoff, B Houghton, ... arXiv preprint arXiv:2303.13512, 2023 | 13 | 2023 |
| Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020 WH Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, A Harter, ... NeurIPS 2020 Competition and Demonstration Track, 233-252, 2021 | 13 | 2021 |
| Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games S Milani, A Juliani, I Momennejad, R Georgescu, J Rzepecki, A Shaw, ... Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 12 | 2023 |
| Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback R Shah, SH Wang, C Wild, S Milani, A Kanervisto, VG Goecks, ... NeurIPS 2021 Competitions and Demonstrations Track, 259-272, 2022 | 12* | 2022 |
| Planning with Abstract Learned Models While Learning Transferable Subtasks J Winder, S Milani, M Landen, E Oh, S Parr, S Squire, M desJardins, ... AAAI Conference on Artificial Intelligence, 2019 | 12 | 2019 |
| How Humans Perceive Human-like Behavior in Video Game Navigation E Zuniga*, S Milani*, G Leroy*, J Rzepecki, R Georgescu, I Momennejad, ... CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-11, 2022 | 11 | 2022 |
| Guaranteeing reproducibility in deep learning competitions B Houghton, S Milani, N Topin, W Guss, K Hofmann, D Perez-Liebana, ... NeurIPS Workshop on Challenges in Machine Learning, 2020 | 10 | 2020 |
| Learning to Play an Adaptive Cyber Deception Game Y Du, Z Song, S Milani, C Gonzalez, F Fang Proc. of the 21st International Conference on Autonomous Agents and …, 2022 | 9 | 2022 |
Fei FangCarnegie Mellon UniversityVerified email at cmu.edu
