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Lifelong Federated Reinforcement Learning: A Learning Architecture for
  Navigation in Cloud Robotic Systems

Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

19 January 2019
Boyi Liu
Lujia Wang
Ming Liu
ArXivPDFHTML

Papers citing "Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems"

50 / 102 papers shown
Title
Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models
Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models
Zhiyi Huang
Xiaohan Shan
Jianmin Li
CLL
OffRL
58
0
0
17 Mar 2025
Provably Robust Federated Reinforcement Learning
Provably Robust Federated Reinforcement Learning
Minghong Fang
Xilong Wang
Neil Zhenqiang Gong
FedML
70
0
0
12 Feb 2025
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
Ahmed Alagha
Jamal Bentahar
Hadi Otrok
Shakti Singh
R. Mizouni
53
3
0
19 Jan 2025
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
Flint Xiaofeng Fan
Cheston Tan
Yew-Soon Ong
Roger Wattenhofer
Wei Tsang Ooi
85
1
0
20 Dec 2024
Blockchain Meets LLMs: A Living Survey on Bidirectional Integration
Blockchain Meets LLMs: A Living Survey on Bidirectional Integration
Jianghao Gong
Peiqi Yan
Yue Zhang
Hongli An
Logan Liu
77
0
0
25 Nov 2024
On the Linear Speedup of Personalized Federated Reinforcement Learning
  with Shared Representations
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
Guojun Xiong
Shufan Wang
Daniel Jiang
Jian Li
FedML
78
1
0
22 Nov 2024
IDU-Detector: A Synergistic Framework for Robust Masquerader Attack
  Detection
IDU-Detector: A Synergistic Framework for Robust Masquerader Attack Detection
Zilin Huang
Xiulai Li
Xinyi Cao
Ke Chen
Longjuan Wang
Logan Bo-Yee Liu
AAML
37
0
0
09 Nov 2024
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For
  Autonomous Visual Robot Navigation
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation
Shreya Gummadi
M. V. Gasparino
Deepak Vasisht
Girish Chowdhary
FedML
37
1
0
06 Nov 2024
TabSec: A Collaborative Framework for Novel Insider Threat Detection
TabSec: A Collaborative Framework for Novel Insider Threat Detection
Zilin Huang
Xiangyan Tang
Hongyu Li
Xinyi Cao
Jieren Cheng
31
0
0
04 Nov 2024
MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive
  Channel Attention
MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive Channel Attention
Lianjun Liu
34
0
0
01 Nov 2024
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU
  Reconfiguration
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
Tianyu Wang
Sheng Li
Bingyao Li
Yuezhen Dai
Ao Li
Geng Yuan
Yufei Ding
Youtao Zhang
Xulong Tang
40
0
0
18 Jul 2024
Combining Federated Learning and Control: A Survey
Combining Federated Learning and Control: A Survey
Jakob Weber
Markus Gurtner
A. Lobe
Adrian Trachte
Andreas Kugi
FedML
AI4CE
36
2
0
12 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
50
1
0
09 Jul 2024
Momentum for the Win: Collaborative Federated Reinforcement Learning
  across Heterogeneous Environments
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
Han Wang
Sihong He
Zhili Zhang
Fei Miao
James Anderson
51
3
0
29 May 2024
Federated Offline Policy Optimization with Dual Regularization
Federated Offline Policy Optimization with Dual Regularization
Sheng Yue
Zerui Qin
Xingyuan Hua
Yongheng Deng
Ju Ren
OffRL
32
0
0
24 May 2024
Momentum-Based Federated Reinforcement Learning with Interaction and
  Communication Efficiency
Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency
Sheng Yue
Xingyuan Hua
Lili Chen
Ju Ren
25
1
0
24 May 2024
EdgeLoc: A Communication-Adaptive Parallel System for Real-Time
  Localization in Infrastructure-Assisted Autonomous Driving
EdgeLoc: A Communication-Adaptive Parallel System for Real-Time Localization in Infrastructure-Assisted Autonomous Driving
Boyi Liu
Jingwen Tong
Yufan Zhuang
29
5
0
20 May 2024
Federated Control in Markov Decision Processes
Federated Control in Markov Decision Processes
Hao Jin
Yang Peng
Liangyu Zhang
Zhihua Zhang
FedML
45
0
0
07 May 2024
Federated Reinforcement Learning with Constraint Heterogeneity
Federated Reinforcement Learning with Constraint Heterogeneity
Hao Jin
Liangyu Zhang
Zhihua Zhang
43
0
0
06 May 2024
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through
  Convergence-Aware Sampling with Screening
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening
Hei Yi Mak
Flint Xiaofeng Fan
Luca A. Lanzendörfer
Cheston Tan
Wei Tsang Ooi
Roger Wattenhofer
FedML
32
2
0
29 Mar 2024
Federated Prompt-based Decision Transformer for Customized VR Services
  in Mobile Edge Computing System
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System
Tailin Zhou
Jiadong Yu
Jun Zhang
Danny H. K. Tsang
16
1
0
15 Feb 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices
  with On-Demand Staleness Control
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
Xiaocheng Li
Si-ren Liu
Zimu Zhou
Bin Guo
Yuan Xu
Zhiwen Yu
35
0
0
29 Jan 2024
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement
  Learning
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
Chenyu Zhang
Han Wang
Aritra Mitra
James Anderson
37
18
0
27 Jan 2024
A review on different techniques used to combat the non-IID and
  heterogeneous nature of data in FL
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL
Iyer Venkataraman Natarajan
25
8
0
01 Jan 2024
Scene 3-D Reconstruction System in Scattering Medium
Scene 3-D Reconstruction System in Scattering Medium
Zhuoyifan Zhang
Lu Zhang
Liang Wang
Haoming Wu
34
1
0
14 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
36
7
0
07 Dec 2023
Improving Efficiency of DNN-based Relocalization Module for Autonomous
  Driving with Server-side Computing
Improving Efficiency of DNN-based Relocalization Module for Autonomous Driving with Server-side Computing
Dengbo Li
Jieren Cheng
Boyi Liu
41
2
0
01 Dec 2023
Federated Learning on Edge Sensing Devices: A Review
Federated Learning on Edge Sensing Devices: A Review
Berrenur Saylam
Ozlem Durmaz Incel
34
1
0
02 Nov 2023
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges
Ahmed Haj Yahmed
Altaf Allah Abbassi
Amin Nikanjam
Heng Li
Foutse Khomh
OffRL
34
5
0
23 Aug 2023
Federated Learning for Computationally-Constrained Heterogeneous
  Devices: A Survey
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey
Kilian Pfeiffer
Martin Rapp
R. Khalili
J. Henkel
FedML
22
63
0
18 Jul 2023
Communication Resources Constrained Hierarchical Federated Learning for
  End-to-End Autonomous Driving
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
Weihua Kou
Shuai Wang
Guangxu Zhu
Bin Luo
Yingxian Chen
Derrick Wing Kwan Ng
Yik-Chung Wu
24
12
0
28 Jun 2023
Federated Domain Generalization: A Survey
Federated Domain Generalization: A Survey
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OOD
FedML
AI4CE
42
29
0
02 Jun 2023
Aggregating Capacity in FL through Successive Layer Training for
  Computationally-Constrained Devices
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
Kilian Pfeiffer
R. Khalili
J. Henkel
FedML
44
5
0
26 May 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous
  Communication and Linear Function Approximation
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
Yifei Min
Jiafan He
Tianhao Wang
Quanquan Gu
38
7
0
10 May 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement
  Learning
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning
Hang Xu
Xinghua Qu
Zinovi Rabinovich
29
1
0
24 Apr 2023
Asynchronous Decentralized Federated Lifelong Learning for Landmark
  Localization in Medical Imaging
Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging
Guangyao Zheng
M. Jacobs
Vladimir Braverman
V. Parekh
FedML
31
5
0
12 Mar 2023
Local Environment Poisoning Attacks on Federated Reinforcement Learning
Local Environment Poisoning Attacks on Federated Reinforcement Learning
Evelyn Ma
Praneet Rathi
Rasoul Etesami
FedML
47
4
0
05 Mar 2023
Federated Temporal Difference Learning with Linear Function
  Approximation under Environmental Heterogeneity
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity
Han Wang
A. Mitra
Hamed Hassani
George J. Pappas
James Anderson
FedML
29
21
0
04 Feb 2023
FedHQL: Federated Heterogeneous Q-Learning
FedHQL: Federated Heterogeneous Q-Learning
Flint Xiaofeng Fan
Yining Ma
Zhongxiang Dai
Cheston Tan
Bryan Kian Hsiang Low
Roger Wattenhofer
FedML
24
7
0
26 Jan 2023
Just Round: Quantized Observation Spaces Enable Memory Efficient
  Learning of Dynamic Locomotion
Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion
Lev Grossman
Brian Plancher
MQ
26
4
0
14 Oct 2022
On the Convergence Theory of Meta Reinforcement Learning with
  Personalized Policies
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
Federated Meta-Learning for Traffic Steering in O-RAN
Federated Meta-Learning for Traffic Steering in O-RAN
Hakan Erdol
Xiaoyang Wang
Peizheng Li
Jonathan D. Thomas
Robert Piechocki
G. Oikonomou
Rui Inacio
A. Ahmad
K. Briggs
S. Kapoor
9
12
0
13 Sep 2022
A Secure and Efficient Multi-Object Grasping Detection Approach for
  Robotic Arms
A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms
Hui Wang
Jieren Cheng
Yichen Xu
Sirui Ni
Zaijia Yang
Jiangpeng Li
26
1
0
08 Sep 2022
ElasticROS: An Elastically Collaborative Robot Operation System for Fog
  and Cloud Robotics
ElasticROS: An Elastically Collaborative Robot Operation System for Fog and Cloud Robotics
Boyi Liu
38
6
0
05 Sep 2022
AuthROS: Secure Data Sharing Among Robot Operating Systems Based on
  Ethereum
AuthROS: Secure Data Sharing Among Robot Operating Systems Based on Ethereum
Shenhui Zhang
Wenkai Li
Xiaoqi Li
Boyi Liu
26
18
0
30 Aug 2022
AVDDPG: Federated reinforcement learning applied to autonomous platoon
  control
AVDDPG: Federated reinforcement learning applied to autonomous platoon control
Christian Boin
Lei Lei
Simon X. Yang
21
4
0
05 Jul 2022
Towards Lifelong Federated Learning in Autonomous Mobile Robots with
  Continuous Sim-to-Real Transfer
Towards Lifelong Federated Learning in Autonomous Mobile Robots with Continuous Sim-to-Real Transfer
Xianjia Yu
Jorge Pena Queralta
Tomi Westerlund
FedML
27
15
0
31 May 2022
FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning
  by Penalizing KL Divergence
FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence
Zhijie Xie
Shenghui Song
FedML
25
45
0
18 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity
Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin
Yang Peng
Wenhao Yang
Shusen Wang
Zhihua Zhang
57
67
0
06 Apr 2022
Federated Reinforcement Learning for Collective Navigation of Robotic
  Swarms
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
Seongin Na
Tomáš Rouček
Jiří Ulrich
Jan Pikman
T. Krajník
Barry Lennox
F. Arvin
34
34
0
02 Feb 2022
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