Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies

14 March 2023

Papers citing "Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies"

6 / 6 papers shown

Title
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 53 4 0 09 Feb 2025
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang A. Tang Didi Zhu Zhengyu Chen Li Shen Fei Wu MoMe AAML 52 3 0 17 Oct 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies Alexandre Ramé Johan Ferret Nino Vieillard Robert Dadashi Léonard Hussenot Pierre-Louis Cedoz Pier Giuseppe Sessa Sertan Girgin Arthur Douillard Olivier Bachem 50 13 0 24 Jun 2024
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials Aviral Kumar Anika Singh F. Ebert Mitsuhiko Nakamoto Yanlai Yang Chelsea Finn Sergey Levine OffRL OnRL 120 64 0 11 Oct 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 313 0 11 Sep 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 127 95 0 28 Jan 2022