Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning

24 February 2021

Papers citing "Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning"

9 / 9 papers shown

Title
Fine-Tuning without Performance Degradation Han Wang Adam White Martha White OnRL 119 0 0 01 May 2025
Augmenting Unsupervised Reinforcement Learning with Self-Reference Andrew Zhao Erle Zhu Rui Lu Matthieu Lin Yong-Jin Liu Gao Huang SSL 19 1 0 16 Nov 2023
Investigating the role of model-based learning in exploration and transfer Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 31 6 0 08 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning Haichao Zhang Weiwen Xu Haonan Yu CLL OffRL OnRL 30 62 0 02 Feb 2023
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration Giulia Vezzani Dhruva Tirumala Markus Wulfmeier Dushyant Rao A. Abdolmaleki ... Tim Hertweck Thomas Lampe Fereshteh Sadeghi N. Heess Martin Riedmiller OffRL 28 6 0 24 Nov 2022
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 30 10 0 14 Oct 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 280 339 0 14 Sep 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,453 0 23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,677 0 09 Mar 2017