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Efficient Multi-Task and Transfer Reinforcement Learning with
  Parameter-Compositional Framework

Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework

2 June 2023
Lingfeng Sun
Haichao Zhang
Wei-ping Xu
Masayoshi Tomizuka
ArXivPDFHTML

Papers citing "Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework"

7 / 7 papers shown
Title
Skill Expansion and Composition in Parameter Space
Skill Expansion and Composition in Parameter Space
Tenglong Liu
Junjie Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
58
4
0
09 Feb 2025
Automating Transfer of Robot Task Plans using Functorial Data Migrations
Automating Transfer of Robot Task Plans using Functorial Data Migrations
Angeline Aguinaldo
Evan Patterson
William Regli
36
0
0
22 Jun 2024
Adaptive Energy Regularization for Autonomous Gait Transition and Energy-Efficient Quadruped Locomotion
Adaptive Energy Regularization for Autonomous Gait Transition and Energy-Efficient Quadruped Locomotion
Boyuan Liang
Lingfeng Sun
Xinghao Zhu
Bike Zhang
Ziyin Xiong
Yixiao Wang
Chenran Li
Koushil Sreenath
Masayoshi Tomizuka
79
3
0
29 Mar 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
59
124
0
17 Jan 2024
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
186
640
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
389
11,700
0
09 Mar 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
94
233
0
28 Feb 2017
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