PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

21 October 2022

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 45 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 50 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 59 122 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