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Federated Transfer Reinforcement Learning for Autonomous Driving

Federated Transfer Reinforcement Learning for Autonomous Driving

14 October 2019
Xinle Liang
Yang Liu
Tianjian Chen
Ming-Yu Liu
Qiang Yang
ArXivPDFHTML

Papers citing "Federated Transfer Reinforcement Learning for Autonomous Driving"

20 / 20 papers shown
Title
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
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
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
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
30
7
0
07 Dec 2023
Federated Learning on Edge Sensing Devices: A Review
Federated Learning on Edge Sensing Devices: A Review
Berrenur Saylam
Ozlem Durmaz Incel
31
1
0
02 Nov 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
26
1
0
24 Apr 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
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
FedSkip: Combatting Statistical Heterogeneity with Federated Skip
  Aggregation
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
Ziqing Fan
Yanfeng Wang
Jiangchao Yao
Lingjuan Lyu
Ya-Qin Zhang
Qinghua Tian
FedML
21
20
0
14 Dec 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
Addressing modern and practical challenges in machine learning: A survey
  of online federated and transfer learning
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning
Shuang Dai
Fanlin Meng
FedML
OnRL
37
21
0
07 Feb 2022
Federated Reinforcement Learning: Techniques, Applications, and Open
  Challenges
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
FedML
31
145
0
26 Aug 2021
Subgraph Federated Learning with Missing Neighbor Generation
Subgraph Federated Learning with Missing Neighbor Generation
Ke Zhang
Carl Yang
Xiaoxiao Li
Lichao Sun
S. Yiu
FedML
24
164
0
25 Jun 2021
A learning agent that acquires social norms from public sanctions in
  decentralized multi-agent settings
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings
Eugene Vinitsky
Raphael Köster
J. Agapiou
Edgar A. Duénez-Guzmán
A. Vezhnevets
Joel Z Leibo
27
37
0
16 Jun 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning
  Convergence Analysis
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis
Baihe Huang
Xiaoxiao Li
Zhao-quan Song
Xin Yang
FedML
23
16
0
11 May 2021
A Survey on Federated Learning and its Applications for Accelerating
  Industrial Internet of Things
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou
Shouhua Zhang
Qinghua Lu
W. Dai
Min Chen
Xin Liu
Susanna Pirttikangas
Yang Shi
Weishan Zhang
E. Herrera-Viedma
FedML
AI4CE
23
44
0
21 Apr 2021
Towards open and expandable cognitive AI architectures for large-scale
  multi-agent human-robot collaborative learning
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning
Georgios Th. Papadopoulos
M. Antona
C. Stephanidis
AI4CE
25
24
0
15 Dec 2020
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang
Dacheng Tao
31
462
0
17 Nov 2020
Federated Transfer Learning: concept and applications
Federated Transfer Learning: concept and applications
Sudipan Saha
Tahir Ahmad
FedML
32
85
0
26 Sep 2020
Decentralized Non-communicating Multiagent Collision Avoidance with Deep
  Reinforcement Learning
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
187
583
0
26 Sep 2016
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