Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions

30 March 2023

Papers citing "Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions"

4 / 4 papers shown

Title
Fine-Tuning without Performance Degradation Han Wang Adam White Martha White OnRL 181 0 0 01 May 2025
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning Trevor A. McInroe Adam Jelley Stefano V. Albrecht Amos Storkey OffRL OnRL 25 6 0 09 Oct 2023
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale Yao Lu Karol Hausman Yevgen Chebotar Mengyuan Yan Eric Jang ... Ted Xiao A. Irpan Mohi Khansari Dmitry Kalashnikov Sergey Levine OffRL 92 59 0 09 Nov 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020