The Generalization Gap in Offline Reinforcement Learning

10 December 2023

Papers citing "The Generalization Gap in Offline Reinforcement Learning"

20 / 20 papers shown

Title
A Clean Slate for Offline Reinforcement Learning Matthew Jackson Uljad Berdica Jarek Liesen Shimon Whiteson Jakob Foerster OffRL OnRL 47 0 0 15 Apr 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning Shangding Gu Laixi Shi Muning Wen Ming Jin Eric Mazumdar Yuejie Chi Adam Wierman C. Spanos OOD OffRL 36 1 0 27 Feb 2025
Permutation Invariant Learning with High-Dimensional Particle Filters Akhilan Boopathy Aneesh Muppidi Peggy Yang Abhiram Iyer William Yue Ila R Fiete SSL 36 0 0 30 Oct 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen Sandipan Mishra Santiago Paternain OffRL 36 2 0 22 Aug 2024
Is Value Learning Really the Main Bottleneck in Offline RL? Seohong Park Kevin Frans Sergey Levine Aviral Kumar OffRL 43 7 0 13 Jun 2024
D2PO: Discriminator-Guided DPO with Response Evaluation Models Prasann Singhal Nathan Lambert S. Niekum Tanya Goyal Greg Durrett OffRL EGVM 36 4 0 02 May 2024
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments Alain Andres Lukas Schafer Esther Villar-Rodriguez Stefano V. Albrecht Javier Del Ser OffRL OnRL 16 2 0 18 Apr 2023
Dungeons and Data: A Large-Scale NetHack Dataset Eric Hambro Roberta Raileanu Dan Rothermel Vegard Mella Tim Rocktaschel Heinrich Küttler Naila Murray OffRL 126 18 0 01 Nov 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 85 178 0 16 May 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 832 0 12 Oct 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 116 95 0 06 Oct 2021
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning Chi Zhang S. Kuppannagari Viktor Prasanna OffRL 41 15 0 02 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 226 89 0 27 Sep 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 270 108 0 13 Jul 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 132 76 0 01 Feb 2021
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 104 115 0 21 Oct 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 276 339 0 14 Sep 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
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 143 1,624 0 02 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020