Milani, Stephanie

14 publications

ICLR 2025 LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang

ICMLW 2024 BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents That Solve Fuzzy Tasks Stephanie Milani, Anssi Kanervisto, Karolis Jucys, Sander V Schulhoff, Brandon Houghton, Rohin Shah

ICMLW 2024 Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels Zhuorui Ye, Stephanie Milani, Fei Fang, Geoff Gordon

ICMLW 2024 Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels Zhuorui Ye, Stephanie Milani, Fei Fang, Geoffrey J. Gordon

ICMLW 2024 Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent Karolis Jucys, George Adamopoulos, Mehrab Hamidi, Stephanie Milani, Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake Aaron Richards, Irina Rish, Özgür Şimşek

NeurIPSW 2024 PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M Murphy, Nev Jones, Kate V Hardy, Hong Shen, Fei Fang, Zhiyu Chen

NeurIPSW 2024 PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M Murphy, Nev Jones, Kate V Hardy, Hong Shen, Fei Fang, Zhiyu Chen

ICML 2024 When Is Transfer Learning Possible? My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon

NeurIPS 2023 BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents That Solve Fuzzy Tasks Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Rohin Shah

ECML-PKDD 2022 MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang

ICLRW 2022 Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin

NeurIPS 2022 Uni[MASK]: Unified Inference in Sequential Decision Problems Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin

AAAI 2021 Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso

AAAI 2020 Planning with Abstract Learned Models While Learning Transferable Subtasks John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek