PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement
Learning

PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning

25 May 2023

Papers citing "PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning"

10 / 10 papers shown

Title
Fine-Tuning without Performance Degradation Han Wang Adam White Martha White OnRL 71 0 0 01 May 2025
Dual Alignment Maximin Optimization for Offline Model-based RL Chi Zhou Wang Luo Haoran Li Congying Han Tiande Guo Zicheng Zhang OffRL 61 0 0 02 Feb 2025
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations Bryan Chan Anson Leung James Bergstra OffRL OnRL 52 0 0 19 Oct 2024
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning Changhong Wang Xudong Yu Chenjia Bai Qiaosheng Zhang Zhen Wang 38 1 0 12 May 2024
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning Trevor A. McInroe Adam Jelley Stefano V. Albrecht Amos Storkey OffRL OnRL 11 6 0 09 Oct 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 109 108 0 09 Mar 2023
d3rlpy: An Offline Deep Reinforcement Learning Library Takuma Seno M. Imai OffRL GP 55 97 0 06 Nov 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 206 832 0 12 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 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 137 1,599 0 02 Feb 2020