Delphic Offline Reinforcement Learning under Nonidentifiable Hidden
Confounding

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding

1 June 2023

Bernhard Schölkopf

Guy Tennenholtz

Papers citing "Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding"

13 / 13 papers shown

Title
Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment A. Rahman Pranav Agarwal R. Noumeir P. Jouvet Vincent Michalski Samira Ebrahimi Kahou OffRL 32 0 0 28 Jul 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning Hao-ming Lin Wenhao Ding Jian Chen Laixi Shi Jiacheng Zhu Bo-wen Li Ding Zhao OffRL CML 54 0 0 15 Jul 2024
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators Ori Linial Guy Tennenholtz Uri Shalit OffRL 46 1 0 30 Jun 2024
Preference Elicitation for Offline Reinforcement Learning Alizée Pace Bernhard Schölkopf Gunnar Rätsch Giorgia Ramponi OffRL 69 1 0 26 Jun 2024
Learning Decision Policies with Instrumental Variables through Double Machine Learning Daqian Shao Ashkan Soleymani Francesco Quinzan Marta Z. Kwiatkowska 51 1 0 14 May 2024
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare Shengpu Tang Maggie Makar Michael Sjoding Finale Doshi-Velez Jenna Wiens OffRL 60 39 0 02 May 2023
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes Miao Lu Yifei Min Zhaoran Wang Zhuoran Yang OffRL 57 22 0 26 May 2022
d3rlpy: An Offline Deep Reinforcement Learning Library Takuma Seno M. Imai OffRL GP 62 100 0 06 Nov 2021
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning Guy Tennenholtz Assaf Hallak Gal Dalal Shie Mannor Gal Chechik Uri Shalit OOD OffRL 55 15 0 13 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 98 19 0 13 Jul 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,963 0 04 May 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015