Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement
Learning

Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning

9 October 2023

Trevor A. McInroe

Stefano V. Albrecht

Amos Storkey

Papers citing "Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning"

7 / 7 papers shown

Title
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin Trevor A. McInroe Pablo Samuel Castro Prakash Panangaden Christopher G. Lucas David Abel Stefano V. Albrecht 56 0 0 08 Mar 2025
Attention-Enhanced Short-Time Wiener Solution for Acoustic Echo Cancellation Fei Zhao Xueliang Zhang 36 0 0 25 Dec 2024
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 22 17 0 23 May 2023
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto Yuexiang Zhai Anika Singh Max Sobol Mark Yi Ma Chelsea Finn Aviral Kumar Sergey Levine OffRL OnRL 114 108 0 09 Mar 2023
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht 27 4 0 22 Jun 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 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