A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
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Updated
Oct 17, 2022 - Python
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
An open-source, web-based solution to job organization and field management SaaS. Built for the field, by the field.
The self-learning AI router that picks the best model, provider, and reasoning level for every request - beating OpenRouter Auto, LLMRouter, and Semantic Router, and matching RouteLLM accuracy at 65.1% lower measured cost in benchmarks.
Trabalhos de Otimização e Meta-Heurísticas PPGI-UFES.
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