knowledgedefinednetworking / a-deep-rl-approach-for-sdn-routing-optimization

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Date Created 2017-10-16 (7 years ago)

Commits 5 (last one 7 years ago)

Stargazers 298 (1 this week)

Watchers 12 (0 this week)

Forks 104

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RepositoryStats indexes 632,894 repositories, of these knowledgedefinednetworking/a-deep-rl-approach-for-sdn-routing-optimization is ranked #140,493 (78th percentile) for total stargazers, and #173,145 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #24,764/129,085.

knowledgedefinednetworking/a-deep-rl-approach-for-sdn-routing-optimization is also tagged with popular topics, for these it's ranked: deep-reinforcement-learning (#142/380)

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knowledgedefinednetworking/a-deep-rl-approach-for-sdn-routing-optimization has Github issues enabled, there are 15 open issues and 1 closed issue.

There have been 1 release, the latest one was published on 2017-10-20 (7 years ago) with the name 1709.07080v1 .

All Topics

sdn traffic-engineering routing-optimization deep-reinforcement-learning software-defined-networking knowledge-defined-networking

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updated: 2025-03-25 @ 05:47am, id: 107108876 / R_kgDOBmJaDA