An Agentic Multi-Agent Reinforcement Learning Framework for Autonomous Task Orchestration in…
Towards AI
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Generative AI
AI Hardware
Reinforcement Learning
An Agentic Multi-Agent Reinforcement Learning Framework for Autonomous Task Orchestration in Distributed Cloud Environments Agentic Multi-Agent Reinforcement Learning (MARL) framework There is exponential growth in distributed cloud architectures, including multi-cloud setups, edge computing, and fog computing. As computation moves out of centralized data centers and closer to the end-user, managing the workloads across these diverse networks becomes complex. The problem is that traditional, centralized methods for task orchestration and resource allocation are becoming bottlenecks.