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2010.07494
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Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
15 October 2020
Zhiyuan Xu
Kun Wu
Zhengping Che
Jian Tang
Jieping Ye
CLL
OffRL
Re-assign community
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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
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