@nielent

This research optimizes sample efficiency in task allocation algorithms for decentralized cloud computing environments. By integrating reinforcement learning with transfer learning techniques, we reduce training data requirements while maintaining allocation accuracy. Experiments show that optimized algorithms achieve faster convergence and better performance in heterogeneous edge computing scenarios, improving resource utilization efficiency.

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