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2210.11653
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PaCo: Parameter-Compositional Multi-Task Reinforcement Learning
21 October 2022
Lingfeng Sun
Haichao Zhang
Wei-ping Xu
M. Tomizuka
MoE
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Papers citing
"PaCo: Parameter-Compositional Multi-Task Reinforcement Learning"
25 / 25 papers shown
Title
Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean
Evangelos Chatzaroulas
Luc McCutcheon
Frank Röder
Tianhe Yu
...
Ryan Julian
Jordan Terry
Isaac Woungang
Nariman Farsad
Pablo Samuel Castro
OffRL
9
0
0
16 May 2025
Plasticity-Aware Mixture of Experts for Learning Under QoE Shifts in Adaptive Video Streaming
Zhiqiang He
Zhi Liu
44
0
0
14 Apr 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
135
1
0
10 Mar 2025
Multi-Task Reinforcement Learning Enables Parameter Scaling
Reginald McLean
Evangelos Chataroulas
Jordan Terry
Isaac Woungang
Nariman Farsad
Pablo Samuel Castro
LRM
44
1
0
07 Mar 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
Luise Ge
Michael Lanier
Anindya Sarkar
Bengisu Guresti
Yevgeniy Vorobeychik
Chongjie Zhang
42
0
0
26 Feb 2025
Skill Expansion and Composition in Parameter Space
Tenglong Liu
J. Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
58
4
0
09 Feb 2025
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
Ziqing Fan
Shengchao Hu
Yuhang Zhou
Li Shen
Ya-Qin Zhang
Yanfeng Wang
Dacheng Tao
OffRL
36
0
0
02 Nov 2024
Active Fine-Tuning of Generalist Policies
Marco Bagatella
Jonas Hübotter
Georg Martius
Andreas Krause
32
0
0
07 Oct 2024
Task-agnostic Pre-training and Task-guided Fine-tuning for Versatile Diffusion Planner
Chenyou Fan
Chenjia Bai
Zhao Shan
Haoran He
Yang Zhang
Zhen Wang
33
3
0
30 Sep 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning
Jung-Hoon Cho
Vindula Jayawardana
Sirui Li
Cathy Wu
OffRL
45
0
0
08 Aug 2024
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Yixiao Wang
Yifei Zhang
Mingxiao Huo
Ran Tian
Xiang Zhang
...
Chenfeng Xu
Pengliang Ji
Wei Zhan
Mingyu Ding
M. Tomizuka
MoE
36
18
0
01 Jul 2024
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning
Po-Shao Lin
Jia-Fong Yeh
Yi-Ting Chen
Winston H. Hsu
34
0
0
02 Jun 2024
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
Shengchao Hu
Ziqing Fan
Li Shen
Ya-Qin Zhang
Yanfeng Wang
Dacheng Tao
OffRL
42
9
0
28 May 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao
Huan Zhao
Yuheng Cheng
Ting Shu
Guolong Liu
Gaoqi Liang
Junhua Zhao
Yun Li
LLMAG
KELM
OffRL
LM&Ro
35
49
0
30 Mar 2024
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
K. Sreenath
M. Tomizuka
71
3
0
29 Mar 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
56
122
0
17 Jan 2024
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
Jinmin He
Kai Li
Yifan Zang
Haobo Fu
Qiang Fu
Junliang Xing
Jian Cheng
MoE
34
4
0
22 Dec 2023
Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks
Lingfeng Sun
Devesh K. Jha
Chiori Hori
Siddarth Jain
Radu Corcodel
Xinghao Zhu
Masayoshi Tomizuka
Diego Romeres
LM&Ro
LLMAG
22
20
0
11 Dec 2023
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Ahmed Hendawy
Jan Peters
Carlo DÉramo
MoE
17
15
0
19 Nov 2023
Human-oriented Representation Learning for Robotic Manipulation
Mingxiao Huo
Mingyu Ding
Chenfeng Xu
Thomas Tian
Xinghao Zhu
Yao Mu
Lingfeng Sun
Masayoshi Tomizuka
Wei Zhan
SSL
47
12
0
04 Oct 2023
Control of Soft Pneumatic Actuators with Approximated Dynamical Modeling
Wu-Te Yang
Burak Kürkçü
Motohiro Hirao
Lingfeng Sun
Xinghao Zhu
Zhizhou Zhang
Grace X. Gu
Masayoshi Tomizuka
14
4
0
03 Oct 2023
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies
Tianyu Li
Nadia Figueroa
24
7
0
05 Sep 2023
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun
Haichao Zhang
Wei-ping Xu
M. Tomizuka
29
8
0
02 Jun 2023
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Haoran He
Chenjia Bai
Kang Xu
Zhuoran Yang
Weinan Zhang
Dong Wang
Bingyan Zhao
Xuelong Li
DiffM
OffRL
30
89
0
29 May 2023
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
184
524
0
27 Jun 2012
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