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A deep recurrent Q network towards self‐adapting distributed microservice architecture
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
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MiCADO—Microservice-based Cloud Application-level Dynamic Orchestrator
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Mastering the game of Go with deep neural networks and tree search
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An architecture-based approach to self-adaptive software
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Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning
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Self-Adaptive Authorization Framework for Policy Based RBAC/ABAC Models
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Adaptive Action Selection in Autonomic Software Using Reinforcement Learning
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Active Object Localization with Deep Reinforcement Learning
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Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Architectures
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Reinforcement learning-based dynamic adaptation planning method for architecture-based self-managed software
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Evaluating the effectiveness of the Rainbow self-adaptive system
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A Policy-Based Decision Making Approach for Orchestrating Autonomic Elements
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Distributed context management in a mobility and adaptation enabling middleware (MADAM)
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Self-adaptation of event-driven component-oriented middleware using aspects of assembly
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Model-based fault detection in context-aware adaptive applications
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Using object-oriented typing to support architectural design in the C2 style
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Using object-oriented typing to support architectural design in the C2 style
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Deep Reinforcement Learning with Double Q-Learning
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Playing FPS Games with Deep Reinforcement Learning
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On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
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Context-oriented Programming.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Microservice‐driven privacy‐aware cross‐platform social relationship prediction based on sequential information
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Enhancing Resource Scalability in Cloud Computing: A Comparative Investigation of Neural Network Predictive Techniques
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Design and Implementation of Adaptive Management Framework for Avionics System Services
inferred← citeshttps://doi.org/10.1007/978-981-96-7238-7_3openalex-snapshot
Self-adaptation in Microservice Systems: A Literature Review
inferred← citeshttps://doi.org/10.1007/s10723-024-09760-8openalex-snapshot
Micro Frontend Based Performance Improvement and Prediction for Microservices Using Machine Learning
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An explainable network-aware self-adaptive cyber-resilient architecture using policy-based reinforcement learning
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FDRP: federated deep relationship prediction with sequential information
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Adaptive deep Q learning network with reinforcement learning for crime prediction
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110550openalex-snapshot
A systematic review of QoS enhancement techniques in microservices architecture
inferred← citeshttps://doi.org/10.1016/j.cosrev.2023.100535openalex-snapshot
Web service adaptation: A decade’s overview
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Supporting the Evolution of Event-Based Choreographies of BPMN Fragments in Microservices Environments
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Enhancing Cloud Resource Management through Predictive Neural Networks and Reinforcement Learning
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Path Tracking Control of Hybrid-driven Robotic Fish Based on Deep Reinforcement Learning
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Meta Learning for Improved Policy Transfer in Changing Network Environments
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Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment
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Self-Adaptive Microservice-based Systems - Landscape and Research Opportunities
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Distributed and Intelligent API Mediation Service for Enterprise-Grade Hybrid-Multicloud Computing
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A Framework for Dynamically Meeting Performance Objectives on a Service Mesh
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Emergent Microservices in Emergent Ecosystems
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A Geometric Approach to Real-time Quality of Experience Prediction in Volatile Edge Networks
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Designing Microservices Using AI: A Systematic Literature Review
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