Multi-Task Reinforcement Learning with Soft Modularization

30 March 2020

Papers citing "Multi-Task Reinforcement Learning with Soft Modularization"

31 / 31 papers shown

Title
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems Rakesh Nadig Vamanan Arulchelvan Rahul Bera Taha Shahroodi Gagandeep Singh Mohammad Sadrosadati Jisung Park O. Mutlu Onur Mutlu 58 0 0 26 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 118 1 0 10 Mar 2025
Multi-Task Reinforcement Learning Enables Parameter Scaling Reginald McLean Evangelos Chataroulas Jordan Terry Isaac Woungang Nariman Farsad P. S. Castro LRM 39 0 0 07 Mar 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 62 3 0 17 Feb 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 56 4 0 09 Feb 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 65 1 0 03 Jan 2025
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining Jie Cheng Ruixi Qiao Gang Xiong Binhua Li Yingwei Ma Binhua Li Yongbin Li Yisheng Lv OffRL OnRL LM&Ro 40 3 0 01 Oct 2024
Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy Sunshine Jiang William Yue Jaedong Hwang Abhiram Iyer Ila Fiete OOD 34 2 0 09 Sep 2024
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior Wang Xinming Li Yongxiang Yue Xiaowei Wu Jianguo 24 0 0 05 Sep 2024
Model Adaptation for Time Constrained Embodied Control Jaehyun Song Minjong Yoo Honguk Woo 35 0 0 17 Jun 2024
DNAct: Diffusion Guided Multi-Task 3D Policy Learning Ge Yan Yueh-hua Wu Xiaolong Wang VGen 27 20 0 07 Mar 2024
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse Siyuan Li Haoyang Li Jin Zhang Zhen Wang Peng Liu Chongjie Zhang OffRL 15 1 0 14 Aug 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 33 30 0 06 Jun 2023
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation Xiyun Li Ziyi Ni Jingqing Ruan Linghui Meng Jing Shi Tielin Zhang Bo Xu 53 4 0 10 May 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 40 0 0 04 Feb 2023
Curriculum-based Asymmetric Multi-task Reinforcement Learning H. Huang Deheng Ye Li Shen W. Liu 27 12 0 07 Nov 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 43 10 0 15 Oct 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks Andrew M. Saxe Shagun Sodhani Sam Lewallen AI4CE 28 34 0 21 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 19 27 0 15 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 18 32 0 11 Jul 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 24 19 0 09 Mar 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments A. Iyer Karan Grewal Akash Velu Lucas O. Souza Jérémy Forest Subutai Ahmad AI4CE 18 41 0 31 Dec 2021
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 35 4 0 17 Dec 2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module Wei-Cheng Tseng Wei Wei Da-Cheng Juan Min Sun 23 2 0 14 Dec 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 19 297 0 26 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies Jeong-Hoon Lee Jongeun Choi 19 8 0 05 Oct 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 17 78 0 16 Sep 2021
The Functional Correspondence Problem Zihang Lai Senthil Purushwalkam Abhinav Gupta 36 13 0 02 Sep 2021
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning Stephen Kelly Tatiana Voegerl W. Banzhaf C. Gondro 38 13 0 23 Jun 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 35 270 0 16 Apr 2021
Learning Dynamic Routing for Semantic Segmentation Yanwei Li Lin Song Yukang Chen Zeming Li X. Zhang Xingang Wang Jian-jun Sun SSeg 83 163 0 23 Mar 2020