Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Boyi, Wang, Lujia, Liu, Ming
Format:	Preprint
Published:	2019
Subjects:	Robotics Artificial Intelligence Distributed, Parallel, and Cluster Computing Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Federated reinforcement learning for robot motion planning with zero-shot generalization
by: Yuan, Zhenyuan, et al.
Published: (2024)

DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents
by: Wang, Taiyi, et al.
Published: (2024)

VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
by: Ballotta, Luca, et al.
Published: (2023)

Sustainability of Data Center Digital Twins with Reinforcement Learning
by: Sarkar, Soumyendu, et al.
Published: (2024)

Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
by: Danilenka, Anastasiya, et al.
Published: (2024)

Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
by: Zantedeschi, Valentina, et al.
Published: (2019)

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks
by: HaghighiFard, M. Saeid, et al.
Published: (2025)

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services
by: Yim, Keun Soo
Published: (2025)

Characterization and Mitigation of Insufficiencies in Automated Driving Systems
by: Fu, Yuting, et al.
Published: (2024)

Edge Computing based Human-Robot Cognitive Fusion: A Medical Case Study in the Autism Spectrum Disorder Therapy
by: Yang, Qin
Published: (2024)

Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving
by: Shi, Shuyao, et al.
Published: (2024)

Federated Learning with Flexible Architectures
by: Park, Jong-Ik, et al.
Published: (2024)

AMV-L: Lifecycle-Managed Agent Memory for Tail-Latency Control in Long-Running LLM Systems
by: Bamidele, Emmanuel
Published: (2026)

Non-Convex Over-the-Air Heterogeneous Federated Learning: A Bias-Variance Trade-off
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2025)

Summary Paper: Use Case on Building Collaborative Safe Autonomous Systems-A Robotdog for Guiding Visually Impaired People
by: Malhotra, Aman, et al.
Published: (2024)

Hierarchical Federated Learning in Multi-hop Cluster-Based VANETs
by: HaghighiFard, M. Saeid, et al.
Published: (2024)

UDMC: Unified Decision-Making and Control Framework for Urban Autonomous Driving with Motion Prediction of Traffic Participants
by: Liu, Haichao, et al.
Published: (2025)

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures
by: Uddin, Ashab, et al.
Published: (2025)

On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing
by: Agarwal, Siddharth, et al.
Published: (2023)

A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions
by: Agarwal, Siddharth, et al.
Published: (2023)

Hierarchical Federated ADMM
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)

Federated Multi-Objective Learning
by: Yang, Haibo, et al.
Published: (2023)

Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid
by: Nair, Vineet Jagadeesan, et al.
Published: (2024)

Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum
by: Schenke, Maximilian, et al.
Published: (2024)

Federated Neural Architecture Search with Model-Agnostic Meta Learning
by: Huang, Xinyuan, et al.
Published: (2025)

Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning
by: Wang, Yuqing, et al.
Published: (2025)

PANAMA: A Network-Aware MARL Framework for Multi-Agent Path Finding in Digital Twin Ecosystems
by: Dogru, Arman, et al.
Published: (2025)

A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications
by: Hussain, Razin Farhan, et al.
Published: (2024)

An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing
by: Dong, Hang, et al.
Published: (2024)

Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning
by: Wang, Zijian, et al.
Published: (2025)

Gradient Correction in Federated Learning with Adaptive Optimization
by: Chen, Evan, et al.
Published: (2025)

FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
by: He, Jialuo, et al.
Published: (2024)

SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
by: Liu, Xinyang, et al.
Published: (2024)

Communication-Efficient Personalized Federal Graph Learning via Low-Rank Decomposition
by: Liu, Ruyue, et al.
Published: (2024)

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
by: Li, Qingbiao, et al.
Published: (2020)

FADAS: Towards Federated Adaptive Asynchronous Optimization
by: Wang, Yujia, et al.
Published: (2024)

Efficient Asynchronous Federated Learning with Sparsification and Quantization
by: Jia, Juncheng, et al.
Published: (2023)

Incentivizing Multi-Tenant Split Federated Learning for Foundation Models at the Network Edge
by: Li, Songyuan, et al.
Published: (2025)

Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning
by: Ebrahim, Maad, et al.
Published: (2024)

Efficient Federated Learning with Timely Update Dissemination
by: Jia, Juncheng, et al.
Published: (2025)