Coordination and communication in deep multi-agent reinforcement learning
<p>A growing number of real-world control problems require teams of software agents to solve a joint task through cooperation. Such tasks naturally arise whenever human workers are replaced by machines, such as robot arms in manufacturing or autonomous cars in transportation. At the same time,...
Main Author: | Schroeder de Witt, CA |
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Other Authors: | Torr, P |
Format: | Thesis |
Language: | English |
Published: |
2021
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Subjects: |
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