A Dataset Perspective on Offline Reinforcement Learning

8 November 2021

Papers citing "A Dataset Perspective on Offline Reinforcement Learning"

5 / 5 papers shown

Title
Yes, Q-learning Helps Offline In-Context RL Denis Tarasov Alexander Nikulin Ilya Zisman Albina Klepach Andrei Polubarov Nikita Lyubaykin Alexander Derevyagin Igor Kiselev Vladislav Kurenkov OffRL OnRL 145 0 0 24 Feb 2025
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks Thomas Schmied Thomas Adler Vihang Patil M. Beck Korbinian Poppel Johannes Brandstetter G. Klambauer Razvan Pascanu Sepp Hochreiter 73 4 0 21 Feb 2025
Integrating Domain Knowledge for handling Limited Data in Offline RL Briti Gangopadhyay Zhao Wang Jia-Fong Yeh Shingo Takamatsu OffRL 32 0 0 11 Jun 2024
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 34 0 0 26 Sep 2023
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,951 0 04 May 2020