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

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"

10 / 10 papers shown

Title
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 50 3 0 01 Oct 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 59 125 0 17 Jan 2024
Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang Katie Kang Bruce D. Lee Claire Tomlin Sergey Levine Stephen Tu Nikolai Matni 45 23 0 01 Dec 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning Lingfeng Sun Haichao Zhang Wei Xu Masayoshi Tomizuka MoE 30 37 0 21 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 36 0 0 21 Sep 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 31 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 38 19 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 35 77 0 16 Sep 2021
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 28 2,857 0 09 Jun 2020
Analysis of Knowledge Transfer in Kernel Regime Arman Rahbar Ashkan Panahi Chiranjib Bhattacharyya Devdatt Dubhashi M. Chehreghani 29 3 0 30 Mar 2020