Zero-Shot Reinforcement Learning from Low Quality Data

Zero-Shot Reinforcement Learning from Low Quality Data

26 September 2023

Jonathan M. Cullen

Papers citing "Zero-Shot Reinforcement Learning from Low Quality Data"

10 / 10 papers shown

Title
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions Yevgen Chebotar Q. Vuong A. Irpan Karol Hausman F. Xia ... Brianna Zitkovich Tomas Jackson Kanishka Rao Chelsea Finn Sergey Levine OffRL 110 81 0 18 Sep 2023
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto Yuexiang Zhai Anika Singh Max Sobol Mark Yi-An Ma Chelsea Finn Aviral Kumar Sergey Levine OffRL OnRL 109 68 0 09 Mar 2023
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez OffRL 142 70 0 08 Sep 2022
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 55 77 0 12 Jul 2021
Continuous Doubly Constrained Batch Reinforcement Learning Rasool Fakoor Jonas W. Mueller Kavosh Asadi Pratik Chaudhari Alex Smola OffRL 191 23 0 18 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 194 412 0 16 Feb 2021
Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint Léonard Blier Corentin Tallec Yann Ollivier 43 30 0 18 Jan 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 199 119 0 21 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 98 194 0 07 Feb 2020