Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples

11 October 2023

Papers citing "Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples"

5 / 5 papers shown

Title
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning Tao Ma Xuzhi Yang Zoltan Szabo OffRL 41 0 0 01 Jul 2024
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 14 4 0 11 Jul 2022
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 95 261 0 04 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,944 0 04 May 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions Omer Gottesman Joseph D. Futoma Yao Liu Soanli Parbhoo L. A. Celi Emma Brunskill Finale Doshi-Velez OffRL 132 54 0 10 Feb 2020