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Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

15 October 2020

Papers citing "Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control"

27 / 27 papers shown

Title
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Michal Nauman Marek Cygan Carmelo Sferrazza Aviral Kumar Pieter Abbeel OffRL 96 0 0 29 May 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 133 4 0 01 Oct 2024
Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation Teli Ma Jiaming Zhou Zifan Wang Ronghe Qiu Junwei Liang 90 11 0 14 Jun 2024
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning Shengchao Hu Ziqing Fan Li Shen Ya Zhang Yanfeng Wang Dacheng Tao OffRL 97 11 0 28 May 2024
Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer S. E. Ada Hanne Say Emre Ugur Erhan Öztop 137 1 0 06 Mar 2024
Offline Multi-task Transfer RL with Representational Penalization Avinandan Bose S. S. Du Maryam Fazel OffRL 99 12 0 19 Feb 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 92 5 0 22 Dec 2023
Wireless Powered Metaverse: Joint Task Scheduling and Trajectory Design for Multi-Devices and Multi-UAVs Xiaojie Wang Jiameng Li Zhaolong Ning Qingyang Song Lei Guo Abbas Jamalipour 35 19 0 28 Nov 2023
PolyTask: Learning Unified Policies through Behavior Distillation Siddhant Haldar Lerrel Pinto 75 9 0 12 Oct 2023
Projected Task-Specific Layers for Multi-Task Reinforcement Learning Josselin Somerville Roberts Julia Di 39 1 0 15 Sep 2023
Polybot: Training One Policy Across Robots While Embracing Variability Jonathan Yang Dorsa Sadigh Chelsea Finn 80 39 0 07 Jul 2023
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation Xinyuan Ji Xu Zhang Wei Xi Haozhi Wang Olga Gadyatskaya Yinchuan Li 52 1 0 16 Jun 2023
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing Grace Zhang Ayush Jain Injune Hwang Shao-Hua Sun Joseph J. Lim 75 5 0 01 Feb 2023
Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang Katie Kang Bruce D. Lee Claire Tomlin Sergey Levine Stephen Tu Nikolai Matni 117 24 0 01 Dec 2022
Towards Versatile Embodied Navigation Hongru Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 97 24 0 30 Oct 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning Lingfeng Sun Haichao Zhang Wei Xu Masayoshi Tomizuka MoE 93 42 0 21 Oct 2022
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks Albert Yu Raymond J. Mooney LM&Ro 71 20 0 10 Oct 2022
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies Haozhi Wang Qing Wang Yunfeng Shao Dong Li Jianye Hao Yinchuan Li 69 0 0 21 Sep 2022
Beyond Supervised Continual Learning: a Review Benedikt Bagus A. Gepperth Timothée Lesort BDL CLL 83 10 0 30 Aug 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 90 32 0 11 Jul 2022
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning Donghan Xie Zhi Wang Chunlin Chen D. Dong OffRL 96 2 0 16 Apr 2022
Switch Trajectory Transformer with Distributional Value Approximation for Multi-Task Reinforcement Learning Qinjie Lin Han Liu B. Sengupta OffRL 70 12 0 14 Mar 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 100 20 0 09 Mar 2022
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 91 77 0 16 Sep 2021
Canoe : A System for Collaborative Learning for Neural Nets Harshit Daga Yiwen Chen Aastha Agrawal Ada Gavrilovska FedML 48 2 0 27 Aug 2021
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 280 3,016 0 09 Jun 2020
Analysis of Knowledge Transfer in Kernel Regime Arman Rahbar Ashkan Panahi Chiranjib Bhattacharyya Devdatt Dubhashi M. Chehreghani 68 3 0 30 Mar 2020