Medical Dead-ends and Learning to Identify High-risk States and Treatments

8 October 2021

Papers citing "Medical Dead-ends and Learning to Identify High-risk States and Treatments"

23 / 23 papers shown

Title
Concise Reasoning via Reinforcement Learning Mehdi Fatemi Banafsheh Rafiee Mingjie Tang Kartik Talamadupula ReLM OffRL LRM 49 3 0 07 Apr 2025
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare Nan Fang Guiliang Liu Wei Gong OffRL 30 0 0 10 Oct 2024
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents Chen Gong Kecen Li Jin Yao Tianhao Wang OnRL 23 0 0 18 Apr 2024
A Dynamical View of the Question of Why Mehdi Fatemi Sindhu Gowda CML 19 1 0 14 Feb 2024
Successor Features for Efficient Multisubject Controlled Text Generation Mengyao Cao Mehdi Fatemi Jackie Chi Kit Cheung Samira Shabanian BDL 21 0 0 03 Nov 2023
Minimum Levels of Interpretability for Artificial Moral Agents Avish Vijayaraghavan C. Badea AI4CE 25 5 0 02 Jul 2023
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery Xiao Zhang Hai Zhang Hongtu Zhou Chang Huang Di Zhang Chen Ye Junqiao Zhao OffRL 16 4 0 24 Jun 2023
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care Ali Shirali Alexander Schubert Ahmed Alaa OffRL 8 3 0 13 Jun 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model Laixi Shi Gen Li Yuting Wei Yuxin Chen M. Geist Yuejie Chi OOD 20 23 0 26 May 2023
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare Shengpu Tang Maggie Makar Michael Sjoding Finale Doshi-Velez Jenna Wiens OffRL 48 37 0 02 May 2023
Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver Behavior for Effective On-Ramp Merging N. Venkatesh Viet-Anh Le Aditya Dave Andreas A. Malikopoulos 11 17 0 01 Apr 2023
Learned Risk Metric Maps for Kinodynamic Systems R. Allen Wei Xiao Daniela Rus 14 1 0 28 Feb 2023
Systematic Rectification of Language Models via Dead-end Analysis Mengyao Cao Mehdi Fatemi Jackie C.K. Cheung Samira Shabanian KELM 27 15 0 27 Feb 2023
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications Mila Nambiar Supriyo Ghosh P. Ong Y. E. Chan Y. Bee Pavitra Krishnaswamy OffRL 10 20 0 15 Feb 2023
Quasi-optimal Reinforcement Learning with Continuous Actions Yuhan Li Wenzhuo Zhou Ruoqing Zhu OffRL 19 5 0 21 Jan 2023
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning Taylor W. Killian S. Parbhoo Marzyeh Ghassemi OffRL 11 6 0 13 Jan 2023
Approximate Information States for Worst-Case Control and Learning in Uncertain Systems Aditya Dave N. Venkatesh Andreas A. Malikopoulos 20 7 0 12 Jan 2023
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 53 8 0 23 Oct 2022
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path Yihan Du Siwei Wang Longbo Huang OOD 11 13 0 06 Jun 2022
Semi-Markov Offline Reinforcement Learning for Healthcare Mehdi Fatemi Mary Wu J. Petch Walter Nelson S. Connolly Alexander Benz A. Carnicelli Marzyeh Ghassemi OffRL 17 13 0 17 Mar 2022
Extracting Expert's Goals by What-if Interpretable Modeling C. Chang George Adam Rich Caruana Anna Goldenberg OffRL 22 0 0 28 Oct 2021
Counterfactually Guided Off-policy Transfer in Clinical Settings Taylor W. Killian Marzyeh Ghassemi Shalmali Joshi CML OffRL OOD 16 10 0 20 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020