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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/nav.20347openalex-snapshot
What you should know about approximate dynamic programming
inferredcites →https://doi.org/10.1002/nem.1931openalex-snapshot
Software‐defined network‐based prioritization to avoid video freezes in HTTP adaptive streaming
inferredcites →https://doi.org/10.1007/11564096_32openalex-snapshot
Neural Fitted Q Iteration – First Experiences with a Data Efficient Neural Reinforcement Learning Method
inferredcites →https://doi.org/10.1007/978-3-642-24455-1_33openalex-snapshot
Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax
inferredcites →https://doi.org/10.1007/978-3-642-40552-5_11openalex-snapshot
QoE Management Framework for Internet Services in SDN Enabled Mobile Networks
inferredcites →https://doi.org/10.1016/j.comnet.2010.11.002openalex-snapshot
Analysis of the impact of sampling on NetFlow traffic classification
inferredcites →https://doi.org/10.1016/j.comnet.2015.02.007openalex-snapshot
QoE-driven in-network optimization for Adaptive Video Streaming based on packet sampling measurements
inferredcites →https://doi.org/10.1016/j.comnet.2017.04.038openalex-snapshot
Distributed SDN controller system: A survey on design choice
inferredcites →https://doi.org/10.1016/s1474-6670(17)39666-0openalex-snapshot
Random Variables and Stochastic Processes
inferredcites →https://doi.org/10.1063/1.3034123openalex-snapshot
Probability, Random Variables, and Stochastic Processes
inferredcites →https://doi.org/10.1080/09540091.2014.885273openalex-snapshot
Design and optimisation of a (FA)Q-learning-based HTTP adaptive streaming client
inferredcites →https://doi.org/10.1109/76.911156openalex-snapshot
Streaming video over the Internet: approaches and directions
inferredcites →https://doi.org/10.1109/iccw.2015.7247436openalex-snapshot
SARA: Segment aware rate adaptation algorithm for dynamic adaptive streaming over HTTP
inferredcites →https://doi.org/10.1109/icnp.2013.6733616openalex-snapshot
OpenSession: SDN-based cross-layer multi-stream management protocol for 3D teleimmersion
inferredcites →https://doi.org/10.1109/im32883.2015openalex-snapshot
2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)
inferredcites →https://doi.org/10.1109/inm.2015.7140285openalex-snapshot
A learning-based algorithm for improved bandwidth-awareness of adaptive streaming clients
inferredcites →https://doi.org/10.1109/jproc.2014.2371999openalex-snapshot
Software-Defined Networking: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/jsac.2014.140405openalex-snapshot
Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale
inferredcites →https://doi.org/10.1109/jsac.2016.2577318openalex-snapshot
A Scalable User Fairness Model for Adaptive Video Streaming Over SDN-Assisted Future Networks
inferredcites →https://doi.org/10.1109/jstsp.2016.2608329openalex-snapshot
A Quality-of-Experience Index for Streaming Video
inferredcites →https://doi.org/10.1109/mnet.2007.364256openalex-snapshot
A Survey of Multihoming Technology in Stub Networks: Current Research and Open Issues
inferredcites →https://doi.org/10.1109/mnet.2010.5430142openalex-snapshot
A generic quantitative relationship between quality of experience and quality of service
inferredcites →https://doi.org/10.1109/noms.2014.6838245openalex-snapshot
A multi-agent Q-Learning-based framework for achieving fairness in HTTP Adaptive Streaming
inferredcites →https://doi.org/10.1109/tcst.2009.2017934openalex-snapshot
Fast Model Predictive Control Using Online Optimization
inferredcites →https://doi.org/10.1109/tmm.2016.2522650openalex-snapshot
mDASH: A Markov Decision-Based Rate Adaptation Approach for Dynamic HTTP Streaming
inferredcites →https://doi.org/10.1109/tsp.2011.2165211openalex-snapshot
Fast Reinforcement Learning for Energy-Efficient Wireless Communication
inferredcites →https://doi.org/10.1109/waina.2014.153openalex-snapshot
REST API Design Patterns for SDN Northbound API
inferredcites →https://doi.org/10.1117/12.2077917openalex-snapshot
Display device-adapted video quality-of-experience assessment
inferredcites →https://doi.org/10.1145/1943552.1943572openalex-snapshot
Dynamic adaptive streaming over HTTP --
inferredcites →https://doi.org/10.1145/2155555.2155570openalex-snapshot
Dynamic adaptive streaming over HTTP dataset
inferredcites →https://doi.org/10.1145/2229087.2229092openalex-snapshot
What happens when HTTP adaptive streaming players compete for bandwidth?
inferredcites →https://doi.org/10.1145/2342356.2342431openalex-snapshot
A case for a coordinated internet video control plane
inferredcites →https://doi.org/10.1145/2398776.2398800openalex-snapshot
Confused, timid, and unstable
inferredcites →https://doi.org/10.1145/2413176.2413189openalex-snapshot
Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE
inferredcites →https://doi.org/10.1145/2491172.2491181openalex-snapshot
Towards network-wide QoE fairness using openflow-assisted adaptive video streaming
inferredcites →https://doi.org/10.1145/2619239.2626296openalex-snapshot
A buffer-based approach to rate adaptation
inferredcites →https://doi.org/10.1145/2785956.2787475openalex-snapshot
Practical, Real-time Centralized Control for CDN-based Live Video Delivery
inferredcites →https://doi.org/10.1145/2785956.2787486openalex-snapshot
A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP
inferredcites →https://doi.org/10.1145/2818361openalex-snapshot
QoE-Driven Rate Adaptation Heuristic for Fair Adaptive Video Streaming
inferredcites →https://doi.org/10.1145/2910017.2910599openalex-snapshot
Delivering stable high-quality video
inferredcites →https://doi.org/10.1145/2910017.2910603openalex-snapshot
Online learning adaptation strategy for DASH clients
inferredcites →https://doi.org/10.1145/2987443.2987459openalex-snapshot
Measuring Video QoE from Encrypted Traffic
inferredcites →https://doi.org/10.1184/r1/6468473openalex-snapshot
C3: Internet-Scale Control Plane for Video Quality Optimization
inferredcites →https://doi.org/10.48550/arxiv.cs/9809099openalex-snapshot
A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems
inferredcites →https://doi.org/10.5594/jmi.2016.2632338openalex-snapshot
Enhancing MPEG DASH Performance via Server and Network Assistance
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11227-020-03180-7openalex-snapshot
Performance issues and solutions in SDN-based data center: a survey
inferred← citeshttps://doi.org/10.1016/j.jnca.2022.103451openalex-snapshot
ALVS: Adaptive Live Video Streaming using deep reinforcement learning
inferred← citeshttps://doi.org/10.1109/access.2025.3593616openalex-snapshot
Multi-Agent Reinforcement Learning With Cross-Layered Adaptive Wireless Video Streaming for Road Traffic Monitoring
inferred← citeshttps://doi.org/10.1109/comst.2018.2862938openalex-snapshot
A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP
inferred← citeshttps://doi.org/10.1109/comst.2024.3442149openalex-snapshot
A Survey on Artificial Intelligence Techniques for Improved Rich Media Content Delivery in a 5G and Beyond Network Slicing Context
inferred← citeshttps://doi.org/10.1109/icra55743.2025.11127859openalex-snapshot
Real-Time LiDAR Point Cloud Compression and Transmission for Resource-Constrained Robots
inferred← citeshttps://doi.org/10.1109/jiot.2020.3025365openalex-snapshot
Reinforcement Learning Meets Wireless Networks: A Layering Perspective
inferred← citeshttps://doi.org/10.1109/tmc.2024.3376560openalex-snapshot
Bitrate Adaptation and Guidance With Meta Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tmm.2020.3013387openalex-snapshot
Data-Driven Bandwidth Prediction Models and Automated Model Selection for Low Latency
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3729597openalex-snapshot
FROG: Fast Response to Optimization Goals for HTTP Adaptive Streaming Over SDN
inferred← citeshttps://doi.org/10.1145/3397227openalex-snapshot
QoE-Fair DASH Video Streaming Using Server-side Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/3460819openalex-snapshot
Online Learning for Adaptive Video Streaming in Mobile Networks
inferred← citeshttps://doi.org/10.1145/3632527openalex-snapshot
Supervised Hierarchical Online Hashing for Cross-modal Retrieval
inferred← citeshttps://doi.org/10.1155/2021/7849194openalex-snapshot
Quality Evaluation of Online Mental Health Education Based on Reinforcement Learning in the Pandemic
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2407623/v1openalex-snapshot
Design of intelligent traffic load balancing (ITLB) mechanism for software defined data center (SDDC)
inferred← citeshttps://doi.org/10.3390/s22062171openalex-snapshot
Reinforcement Learning-Based Adaptive Streaming Scheme with Edge Computing Assistance
inferred← citeshttps://doi.org/10.5121/csit.2023.130205openalex-snapshot
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
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