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Transfer Learning in Deep Reinforcement Learning: A Survey

Transfer Learning in Deep Reinforcement Learning: A Survey

16 September 2020
Zhuangdi Zhu
Kaixiang Lin
Anil K. Jain
Jiayu Zhou
    OffRL
    LRM
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Papers citing "Transfer Learning in Deep Reinforcement Learning: A Survey"

50 / 91 papers shown
Title
General Dynamic Goal Recognition
General Dynamic Goal Recognition
Osher Elhadad
Reuth Mirsky
AI4CE
19
0
0
14 May 2025
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Qian Xu
Lei Zhang
Yong-Jin Liu
29
0
0
10 May 2025
Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption
Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption
Weiqiang Jiao
Suzhi Bi
Xianrui Li
Cheng Guo
Hao Chen
Zhi Quan
41
0
0
16 Apr 2025
World Model Agents with Change-Based Intrinsic Motivation
World Model Agents with Change-Based Intrinsic Motivation
Jeremias Ferrao
Rafael Cunha
OffRL
MoE
57
0
0
26 Mar 2025
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
Jiawei Huang
Bingcong Li
Christoph Dann
Niao He
OffRL
85
0
0
26 Feb 2025
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Lixing Lyu
Jiashuo Jiang
Wang Chi Cheung
42
1
0
24 Feb 2025
Rethinking Membership Inference Attacks Against Transfer Learning
Rethinking Membership Inference Attacks Against Transfer Learning
Yanwei Yue
Jing Chen
Qianru Fang
Kun He
Ziming Zhao
Hao Ren
Guowen Xu
Yang Liu
Yang Xiang
64
34
0
20 Jan 2025
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRL
CLL
77
0
0
19 Dec 2024
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
Francisco Giral
Ignacio Gómez
Ricardo Vinuesa
S. L. Clainche
32
2
0
05 Nov 2024
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
M. Germán-Morales
A. J. Rivera-Rivas
M. J. del Jesus Díaz
C. J. Carmona
AI4TS
AI4CE
53
0
0
15 Oct 2024
Exploiting Adjacent Similarity in Multi-Armed Bandit Tasks via Transfer of Reward Samples
Exploiting Adjacent Similarity in Multi-Armed Bandit Tasks via Transfer of Reward Samples
NR Rahul
Vaibhav Katewa
35
0
0
30 Sep 2024
Non-stationary and Sparsely-correlated Multi-output Gaussian Process
  with Spike-and-Slab Prior
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior
Wang Xinming
Li Yongxiang
Yue Xiaowei
Wu Jianguo
26
0
0
05 Sep 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
Ying Fan
Jingling Li
Adith Swaminathan
Aditya Modi
Ching-An Cheng
OffRL
72
0
0
14 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
Yupei Yang
Erdun Gao
Fan Feng
Xinyue Wang
Shikui Tu
Lei Xu
CML
OOD
TTA
38
1
0
30 Jul 2024
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
Wenjia Xu
Zijian Yu
Yixu Wang
Jiuniu Wang
Yuanben Zhang
Guangzuo Li
Mugen Peng
LLMAG
48
7
0
11 Jun 2024
Near-Field Spot Beamfocusing: A Correlation-Aware Transfer Learning
  Approach
Near-Field Spot Beamfocusing: A Correlation-Aware Transfer Learning Approach
Mohammad Amir Fallah
M. Monemi
Mehdi Rasti
Matti Latva-aho
13
1
0
21 May 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for
  Robot Manipulation
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
Carlos Plou
Ana C. Murillo
Ruben Martinez-Cantin
OffRL
40
0
0
02 Apr 2024
Metarobotics for Industry and Society: Vision, Technologies, and
  Opportunities
Metarobotics for Industry and Society: Vision, Technologies, and Opportunities
E. Kaigom
43
8
0
31 Mar 2024
Exploring CausalWorld: Enhancing robotic manipulation via knowledge
  transfer and curriculum learning
Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning
Xinrui Wang
Yan Jin
40
1
0
25 Mar 2024
Levels of AI Agents: from Rules to Large Language Models
Levels of AI Agents: from Rules to Large Language Models
Yu Huang
AI4CE
ELM
LM&Ro
43
2
0
06 Mar 2024
SHM-Traffic: DRL and Transfer learning based UAV Control for Structural
  Health Monitoring of Bridges with Traffic
SHM-Traffic: DRL and Transfer learning based UAV Control for Structural Health Monitoring of Bridges with Traffic
Divija Swetha Gadiraju
Saeed Eftekhar Azam
Deepak Khazanchi
23
2
0
22 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A
  Cross-Field Perspective
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Jeng-Lin Li
Chih-Fan Hsu
Ming-Ching Chang
Wei-Chao Chen
OOD
44
2
0
20 Feb 2024
Taking Class Imbalance Into Account in Open Set Recognition Evaluation
Taking Class Imbalance Into Account in Open Set Recognition Evaluation
Joanna Komorniczak
Pawel Ksieniewicz
25
0
0
09 Feb 2024
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning
Zelin Wan
Jin-Hee Cho
Mu Zhu
Ahmed H. Anwar
Charles A. Kamhoua
Munindar P. Singh
AI4CE
17
0
0
08 Feb 2024
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
66
3
0
20 Nov 2023
Uncertainty-aware transfer across tasks using hybrid model-based
  successor feature reinforcement learning
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning
Parvin Malekzadeh
Ming Hou
Konstantinos N. Plataniotis
49
1
0
16 Oct 2023
A Framework for Few-Shot Policy Transfer through Observation Mapping and
  Behavior Cloning
A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning
Yash Shukla
Bharat Kesari
Shivam Goel
Robert Wright
Jivko Sinapov
54
4
0
13 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning
A Recent Survey of Heterogeneous Transfer Learning
Runxue Bao
Yiming Sun
Yuhe Gao
Jindong Wang
Qiang Yang
Zhi-Hong Mao
Ye Ye
30
4
0
12 Oct 2023
Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement
  Learning
Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement Learning
Kaustuv Mukherji
Devendra Parkar
Lahari Pokala
Dyuman Aditya
Paulo Shakarian
Clark Dorman
24
2
0
10 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the
  state-of-the-art, and future directions
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
H. Najjaran
35
11
0
04 Oct 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for
  Multi-Policy Reuse
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse
Siyuan Li
Haoyang Li
Jin Zhang
Zhen Wang
Peng Liu
Chongjie Zhang
OffRL
24
1
0
14 Aug 2023
Reinforcement Learning by Guided Safe Exploration
Reinforcement Learning by Guided Safe Exploration
Qisong Yang
T. D. Simão
N. Jansen
Simon Tindemans
M. Spaan
OffRL
OnRL
34
5
0
26 Jul 2023
Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent
  Deep Reinforcement Learning
Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning
Tianlun Hu
Qi Liao
Li-Yu Daisy Liu
Georg Carle
19
3
0
20 Jun 2023
Solving Large-scale Spatial Problems with Convolutional Neural Networks
Solving Large-scale Spatial Problems with Convolutional Neural Networks
Damian Owerko
Charilaos I. Kanatsoulis
Alejandro Ribeiro
22
2
0
14 Jun 2023
Adaptive Policy Learning to Additional Tasks
Adaptive Policy Learning to Additional Tasks
Wenjian Hao
Zehui Lu
Zihao Liang
Tianyu Zhou
Shaoshuai Mou
29
0
0
24 May 2023
Adaptive action supervision in reinforcement learning from real-world
  multi-agent demonstrations
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations
Keisuke Fujii
Kazushi Tsutsui
Atom Scott
Hiroshi Nakahara
Naoya Takeishi
Yoshinobu Kawahara
29
6
0
22 May 2023
Intelligent multicast routing method based on multi-agent deep
  reinforcement learning in SDWN
Intelligent multicast routing method based on multi-agent deep reinforcement learning in SDWN
Hongwen Hu
Miao Ye
Chenwei Zhao
Qiuxiang Jiang
Yong Wang
Hongbing Qiu
Xiaofang Deng
17
2
0
12 May 2023
Towards Compute-Optimal Transfer Learning
Towards Compute-Optimal Transfer Learning
Massimo Caccia
Alexandre Galashov
Arthur Douillard
Amal Rannen-Triki
Dushyant Rao
Michela Paganini
Laurent Charlin
MarcÁurelio Ranzato
Razvan Pascanu
21
3
0
25 Apr 2023
Adaptive Feature Fusion: Enhancing Generalization in Deep Learning
  Models
Adaptive Feature Fusion: Enhancing Generalization in Deep Learning Models
Neelesh Mungoli
28
23
0
04 Apr 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under
  Low-rank MDPs
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
Yuan Cheng
Ruiquan Huang
J. Yang
Yitao Liang
OffRL
41
8
0
20 Mar 2023
Reinforcement Learning in the Wild with Maximum Likelihood-based Model
  Transfer
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
Hannes Eriksson
D. Basu
Tommy Tram
Mina Alibeigi
Christos Dimitrakakis
21
1
0
18 Feb 2023
Robust Knowledge Transfer in Tiered Reinforcement Learning
Robust Knowledge Transfer in Tiered Reinforcement Learning
Jiawei Huang
Niao He
OffRL
26
1
0
10 Feb 2023
Investigating the role of model-based learning in exploration and
  transfer
Investigating the role of model-based learning in exploration and transfer
Jacob Walker
Eszter Vértes
Yazhe Li
Gabriel Dulac-Arnold
Ankesh Anand
T. Weber
Jessica B. Hamrick
OffRL
36
7
0
08 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for
  Unsupervised Reinforcement Learning
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning
Darshita Jain
A. Majumder
S. Dutta
Swagat Kumar
SSL
28
1
0
31 Jan 2023
Transferring Multiple Policies to Hotstart Reinforcement Learning in an
  Air Compressor Management Problem
Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem
Hélène Plisnier
Denis Steckelmacher
Jeroen Willems
B. Depraetere
Ann Nowé
OffRL
26
1
0
30 Jan 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning
  Systems
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker
Alexander New
Mario Aguilar-Simon
Ziad Al-Halah
Sébastien M. R. Arnold
...
Zifan Xu
A. Yanguas-Gil
Harel Yedidsion
Shangqun Yu
Gautam K. Vallabha
30
15
0
18 Jan 2023
Neuro-Symbolic World Models for Adapting to Open World Novelty
Neuro-Symbolic World Models for Adapting to Open World Novelty
Jonathan C. Balloch
Zhiyu Lin
Robert Wright
Xiangyu Peng
Mustafa Hussain
Aarun Srinivas
Julia Kim
Mark O. Riedl
18
10
0
16 Jan 2023
Network Slicing via Transfer Learning aided Distributed Deep
  Reinforcement Learning
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning
Tianlun Hu
Qi Liao
Qian Liu
Georg Carle
OffRL
19
8
0
09 Jan 2023
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer
  across Agents
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents
Minghuan Liu
Zhengbang Zhu
Menghui Zhu
Yuzheng Zhuang
Weinan Zhang
Jianye Hao
18
0
0
18 Dec 2022
Enhancing team performance with transfer-learning during real-world
  human-robot collaboration
Enhancing team performance with transfer-learning during real-world human-robot collaboration
Athanasios C. Tsitos
M. Dagioglou
25
0
0
23 Nov 2022
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