Stephanie Milani
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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, ...
arXiv preprint arXiv:1904.10079, 2019
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
WH Guss, MY Castro, S Devlin, B Houghton, NS Kuno, C Loomis, S Milani, ...
arXiv preprint arXiv:2101.11071, 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
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
Perceptions of Domestic Robots’ Normative Behavior Across Cultures
H Li, S Milani, V Krishnamoorthy, M Lewis, K Sycara
3rd AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society …, 2019
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
Guaranteeing reproducibility in deep learning competitions
B Houghton, S Milani, N Topin, W Guss, K Hofmann, D Perez-Liebana, ...
33rd Conference on Neural Information Processing Systems, Challenges in …, 2020
Planning with Abstract Learned Models While Learning Transferable Subtasks
J Winder, S Milani, M Landen, E Oh, S Parr, S Squire, M desJardins, ...
34th AAAI Conference on Artificial Intelligence, 2019
A Survey of Explainable Reinforcement Learning
S Milani, N Topin, M Veloso, F Fang
arXiv preprint arXiv:2202.08434, 2022
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
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
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers
M Carroll, J Lin, O Paradise, R Georgescu, M Sun, D Bignell, S Milani, ...
arXiv preprint arXiv:2204.13326, 2022
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, ...
arXiv preprint arXiv:2202.10583, 2022
Learning to Play an Adaptive Cyber Deception Game
Y Du, Z Song, S Milani, C Gonzalez, F Fang
Intelligent Tutoring Strategies for Students with Autism Spectrum Disorder: A Reinforcement Learning Approach
S Milani, Z Fan, S Gulati, T Nguyen, F Fang, A Yadav
34th AAAI Conference on AI Workshop on Artificial Intelligence for Education, 2020
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
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
S Milani, Z Zhang, N Topin, ZR Shi, C Kamhoua, EE Papalexakis, F Fang
arXiv preprint arXiv:2205.12449, 2022
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
Penalty-Modified Markov Decision Processes: Efficient Incorporation of Norms into Sequential Decision Making Problems
S Milani, N Topin, K Sycara
4th Multidisciplinary Conference on Reinforcement Learning and Decision …, 2019
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