Killian, Taylor W.

9 publications

NeurIPS 2025 BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces Matthew Landers, Taylor W. Killian, Hugo Barnes, Thomas Hartvigsen, Afsaneh Doryab

NeurIPS 2025 Revisiting Reinforcement Learning for LLM Reasoning from a Cross-Domain Perspective Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Nilabjo Dey, Yonghao Zhuang, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Taylor W. Killian, Haonan Li, Mikhail Yurochkin, Eric P. Xing, Zhengzhong Liu, Zhiting Hu

ICML 2025 Robust Autonomy Emerges from Self-Play Marco Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Kraehenbuehl, Vladlen Koltun

ICMLW 2023 Continuous Time Evidential Distributions for Irregular Time Series Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P Amini

TMLR 2023 Risk Sensitive Dead-End Identification in Safety-Critical Offline Reinforcement Learning Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi

CHIL 2022 Counterfactually Guided Policy Transfer in Clinical Settings Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi

NeurIPS 2021 Medical Dead-Ends and Learning to Identify High-Risk States and Treatments Mehdi Fatemi, Taylor W Killian, Jayakumar Subramanian, Marzyeh Ghassemi

NeurIPS 2017 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes Taylor W Killian, Samuel Daulton, George Konidaris, Finale Doshi-Velez

AAAI 2017 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez