Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Ana Neto

View on Semantic Scholar

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Open access Oct 2026

Reinforcement Learning Approaches to the Dynamic Flexible Job Shop Scheduling Problem: A Systematic Review

This systematic review analyses how Reinforcement Learning (RL) applied to the Dynamic Flexible Job Shop Scheduling Problem (DFJSSP) contributes to industrial production systems, considering problem formulations and extensions, algorithm families and scheduling strategies, and scalability. ScienceDirect, IEEE Xplore, T...

Ana Neto, N. Lopes, Cátia Alves et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.