Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

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Stars: 234
Forks: 87
Open issues: 12

License: None
Language: Python
Size: 9.01 MB
Dependencies parsed at: Pending

Created at: over 5 years ago
Updated at: over 1 year ago
Pushed at: almost 3 years ago
Last synced at: over 1 year ago

Topics: ddpg, edge-servers, resource-allocation

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GitHub / davidtw0320 / Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning