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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"

41 / 91 papers shown
Title
Doubly Inhomogeneous Reinforcement Learning
Doubly Inhomogeneous Reinforcement Learning
Liyuan Hu
Mengbing Li
C. Shi
Zhanghua Wu
Piotr Fryzlewicz
OffRL
31
2
0
08 Nov 2022
A Transfer Learning Approach for UAV Path Design with Connectivity
  Outage Constraint
A Transfer Learning Approach for UAV Path Design with Connectivity Outage Constraint
G. Fontanesi
Anding Zhu
M. Arvaneh
Hamed Ahmadi
19
16
0
07 Nov 2022
Robotic Assembly Control Reconfiguration Based on Transfer Reinforcement
  Learning for Objects with Different Geometric Features
Robotic Assembly Control Reconfiguration Based on Transfer Reinforcement Learning for Objects with Different Geometric Features
Yuhang Gai
Bin Wang
Jiwen Zhang
Dan Wu
Ken Chen
26
0
0
04 Nov 2022
Sensor Control for Information Gain in Dynamic, Sparse and Partially
  Observed Environments
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments
J. Burns
A. Sundaresan
Pedro Sequeira
Vidyasagar Sadhu
24
0
0
03 Nov 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering
Probing Transfer in Deep Reinforcement Learning without Task Engineering
Andrei A. Rusu
Sebastian Flennerhag
Dushyant Rao
Razvan Pascanu
R. Hadsell
34
6
0
22 Oct 2022
Improving alignment of dialogue agents via targeted human judgements
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese
Nat McAleese
Maja Trkebacz
John Aslanides
Vlad Firoiu
...
John F. J. Mellor
Demis Hassabis
Koray Kavukcuoglu
Lisa Anne Hendricks
G. Irving
ALM
AAML
227
502
0
28 Sep 2022
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
68
27
0
28 Sep 2022
DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning
DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning
Simeon Adebola
Satvik Sharma
K. Shivakumar
OffRL
16
1
0
26 Sep 2022
How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image
  Domain? An Empirical Study Involving Art Classification
How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image Domain? An Empirical Study Involving Art Classification
Vincent Tonkes
M. Sabatelli
ViT
27
6
0
09 Aug 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Chang Yang
Ruiyu Wang
Xinrun Wang
Zhen Wang
OffRL
27
3
0
07 Aug 2022
Robots Enact Malignant Stereotypes
Robots Enact Malignant Stereotypes
Andrew Hundt
William Agnew
V. Zeng
Severin Kacianka
Matthew C. Gombolay
LM&Ro
35
41
0
23 Jul 2022
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving
  at Unsignalized Intersections
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections
Shivesh Khaitan
John M. Dolan
SSL
24
17
0
10 Jul 2022
Domain Adapting Deep Reinforcement Learning for Real-world Speech
  Emotion Recognition
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition
Thejan Rajapakshe
R. Rana
Sara Khalifa
Bjorn W. Schuller
17
0
0
07 Jul 2022
Relative Policy-Transition Optimization for Fast Policy Transfer
Relative Policy-Transition Optimization for Fast Policy Transfer
Jiawei Xu
Cheng Zhou
Yizheng Zhang
Zhengyou Zhang
Lei Han
21
0
0
13 Jun 2022
Multifidelity Reinforcement Learning with Control Variates
Multifidelity Reinforcement Learning with Control Variates
Sami Khairy
Prasanna Balaprakash
OffRL
28
5
0
10 Jun 2022
Provable Benefits of Representational Transfer in Reinforcement Learning
Provable Benefits of Representational Transfer in Reinforcement Learning
Alekh Agarwal
Yuda Song
Wen Sun
Kaiwen Wang
Mengdi Wang
Xuezhou Zhang
OffRL
23
33
0
29 May 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement
  Learning
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso
M. Sabatelli
M. Wiering
49
9
0
28 May 2022
Data Valuation for Offline Reinforcement Learning
Data Valuation for Offline Reinforcement Learning
Amir Abolfazli
Gregory Palmer
D. Kudenko
OffRL
20
0
0
19 May 2022
Training Mixed-Domain Translation Models via Federated Learning
Training Mixed-Domain Translation Models via Federated Learning
Peyman Passban
Tanya Roosta
Rahul Gupta
Ankit R. Chadha
Clement Chung
FedML
AI4CE
26
18
0
03 May 2022
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty
Jonathan C. Balloch
Zhiyu Lin
Mustafa Hussain
Aarun Srinivas
Robert Wright
Xiangyu Peng
Julia Kim
Mark O. Riedl
OffRL
25
16
0
23 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
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
Learning Transferable Reward for Query Object Localization with Policy
  Adaptation
Learning Transferable Reward for Query Object Localization with Policy Adaptation
Tingfeng Li
Shaobo Han
Martin Renqiang Min
Dimitris N. Metaxas
33
1
0
24 Feb 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in
  Environments with Sparse Rewards: What and When to Share?
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
Alain Andres
Esther Villar-Rodriguez
Javier Del Ser
22
9
0
24 Feb 2022
A Comparative Study of Deep Reinforcement Learning-based Transferable
  Energy Management Strategies for Hybrid Electric Vehicles
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles
Jingyi Xu
Zirui Li
Li Gao
Junyi Ma
Qi Liu
Yanan Zhao
25
13
0
22 Feb 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer
  Learning
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Utku Evci
Vincent Dumoulin
Hugo Larochelle
Michael C. Mozer
30
83
0
10 Jan 2022
Transfer RL across Observation Feature Spaces via Model-Based
  Regularization
Transfer RL across Observation Feature Spaces via Model-Based Regularization
Yanchao Sun
Ruijie Zheng
Xiyao Wang
Andrew Cohen
Furong Huang
OOD
OffRL
19
21
0
01 Jan 2022
Component Transfer Learning for Deep RL Based on Abstract
  Representations
Component Transfer Learning for Deep RL Based on Abstract Representations
Geoffrey van Driessel
Vincent François-Lavet
DRL
OffRL
28
6
0
22 Nov 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative
  Replay
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
Peng Bao
Zonghai Chen
Ji-kai Wang
Deyun Dai
Hao Zhao
33
9
0
15 Nov 2021
Successor Feature Neural Episodic Control
Successor Feature Neural Episodic Control
David Emukpere
Xavier Alameda-Pineda
Chris Reinke
BDL
24
4
0
04 Nov 2021
Successor Feature Representations
Successor Feature Representations
Chris Reinke
Xavier Alameda-Pineda
29
5
0
29 Oct 2021
Inverse Optimal Control Adapted to the Noise Characteristics of the
  Human Sensorimotor System
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
M. Schultheis
Dominik Straub
Constantin Rothkopf
11
20
0
21 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot
  Learning
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Yang Shu
Zhangjie Cao
Jing Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
32
10
0
14 Oct 2021
Block Contextual MDPs for Continual Learning
Block Contextual MDPs for Continual Learning
Shagun Sodhani
Franziska Meier
Joelle Pineau
Amy Zhang
CLL
33
25
0
13 Oct 2021
Offline RL With Resource Constrained Online Deployment
Offline RL With Resource Constrained Online Deployment
Jayanth Reddy Regatti
A. Deshmukh
Frank Cheng
Young Hun Jung
Abhishek Gupta
Ürün Dogan
OffRL
13
2
0
07 Oct 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and
  Transportation Systems: A Survey
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Zefang Zong
Tao Feng
Tong Xia
Depeng Jin
Yong Li
22
3
0
10 Aug 2021
General Board Game Concepts
General Board Game Concepts
Éric Piette
Matthew Stephenson
Dennis J. N. J. Soemers
C. Browne
32
13
0
02 Jul 2021
Transfer of Fully Convolutional Policy-Value Networks Between Games and
  Game Variants
Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants
Dennis J. N. J. Soemers
Vegard Mella
Éric Piette
Matthew Stephenson
C. Browne
O. Teytaud
OffRL
23
8
0
24 Feb 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,684
0
09 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
237
809
0
13 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
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