The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning

16 October 2022

Papers citing "The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning"

5 / 5 papers shown

Title
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 50 0 0 08 Aug 2024
Is High Variance Unavoidable in RL? A Case Study in Continuous Control Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 65 23 0 21 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 278 109 0 13 Jul 2021
MOT20: A benchmark for multi object tracking in crowded scenes Patrick Dendorfer Hamid Rezatofighi Anton Milan Javen Qinfeng Shi Daniel Cremers Ian Reid Stefan Roth Konrad Schindler Laura Leal-Taixé VOT 182 633 0 19 Mar 2020