Joint Design of Embedded Index Coding and Beamforming for MIMO-based Distributed Computing via Multi-Agent Reinforcement Learning
Analysis
This article presents a research paper exploring the application of multi-agent reinforcement learning to optimize the design of embedded index coding and beamforming techniques for MIMO-based distributed computing. The focus is on improving the efficiency and performance of distributed computing systems.
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Reference / Citation
View Original"Joint Design of Embedded Index Coding and Beamforming for MIMO-based Distributed Computing via Multi-Agent Reinforcement Learning"