POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning

13 January 2020

Finale Doshi-Velez

Papers citing "POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning"

28 / 28 papers shown

Title
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning Sanket Shah A. Suggala Milind Tambe Aparna Taneja 22 0 0 08 Mar 2024
TaskMet: Task-Driven Metric Learning for Model Learning Dishank Bansal Ricky T. Q. Chen Mustafa Mukadam Brandon Amos FedML 20 10 0 08 Dec 2023
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems Haoyu Geng Hang Ruan Runzhong Wang Yang Li Yang Wang Lei Chen Junchi Yan 42 0 0 13 Nov 2023
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 13 27 0 28 Oct 2023
Inference for relative sparsity Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie CML 19 0 0 25 Jun 2023
Decision-Focused Model-based Reinforcement Learning for Reward Transfer Abhishek Sharma S. Parbhoo Omer Gottesman Finale Doshi-Velez OffRL 14 0 0 06 Apr 2023
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits Paritosh Verma Shresth Verma Aditya Mate Aparna Taneja Milind Tambe 11 0 0 19 Jan 2023
A Review of Off-Policy Evaluation in Reinforcement Learning Masatoshi Uehara C. Shi Nathan Kallus OffRL 28 47 0 13 Dec 2022
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation Soysal Degirmenci Chris Jones OffRL 17 1 0 05 Dec 2022
Relative Sparsity for Medical Decision Problems Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie 22 2 0 29 Nov 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data Allen Nie Yannis Flet-Berliac Deon R. Jordan William Steenbergen Emma Brunskill OffRL 23 12 0 16 Oct 2022
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs Masatoshi Uehara Haruka Kiyohara Andrew Bennett Victor Chernozhukov Nan Jiang Nathan Kallus C. Shi Wen Sun OffRL 23 16 0 26 Jul 2022
Offline Policy Optimization with Eligible Actions Yao Liu Yannis Flet-Berliac Emma Brunskill OffRL 15 5 0 01 Jul 2022
Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses Sanket Shah Kai Wang Bryan Wilder Andrew Perrault Milind Tambe OffRL 11 11 0 30 Mar 2022
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health Kai Wang Shresth Verma Aditya Mate Sanket Shah Aparna Taneja N. Madhiwalla Aparna Hegde Milind Tambe 19 12 0 02 Feb 2022
Planning in Observable POMDPs in Quasipolynomial Time Noah Golowich Ankur Moitra Dhruv Rohatgi 19 27 0 12 Jan 2022
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes C. Shi Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 11 22 0 12 Nov 2021
Extracting Expert's Goals by What-if Interpretable Modeling C. Chang George Adam Rich Caruana Anna Goldenberg OffRL 35 0 0 28 Oct 2021
On Learning Prediction-Focused Mixtures David Madras Catherine Zeng Sanjana Narayanan S. Parbhoo Finale Doshi-Velez 11 2 0 25 Oct 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang Jenna Wiens OffRL 26 77 0 23 Jul 2021
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation Alex J. Chan Ioana Bica Alihan Huyuk Daniel Jarrett M. Schaar 17 14 0 08 Jun 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning Kai Wang Sanket Shah Haipeng Chen Andrew Perrault Finale Doshi-Velez Milind Tambe OffRL 8 6 0 06 Jun 2021
Learning Under Adversarial and Interventional Shifts Harvineet Singh Shalmali Joshi Finale Doshi-Velez Himabindu Lakkaraju OOD 9 3 0 29 Mar 2021
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment Kristine Zhang Yuanheng Wang Jianzhun Du Brian Chu L. A. Celi R. Kindle Finale Doshi-Velez OffRL 14 3 0 09 Jan 2021
Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies Christina X. Ji Michael Oberst S. Kanjilal David Sontag OffRL 8 4 0 08 Oct 2020
Probabilistic Machine Learning for Healthcare Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath OOD 6 51 0 23 Sep 2020
Hyperparameter Selection for Offline Reinforcement Learning T. Paine Cosmin Paduraru Andrea Michi Çağlar Gülçehre Konrad Zolna Alexander Novikov Ziyun Wang Nando de Freitas GP OffRL 28 145 0 17 Jul 2020
Counterfactually Guided Off-policy Transfer in Clinical Settings Taylor W. Killian Marzyeh Ghassemi Shalmali Joshi CML OffRL OOD 26 11 0 20 Jun 2020