Data-driven algorithms for multi-agent optimization and games
Multi-agent optimization and game theory constitute fundamental frameworks for modelling a plethora of engineering problems. In some systems, agents cooperate to optimize a collective cost, thus giving rise to multi-agent optimization programs. In other cases, agents act as selfish entities wishing...
मुख्य लेखक: | Pantazis, G |
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स्वरूप: | थीसिस |
भाषा: | English |
प्रकाशित: |
2022
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विषय: |
समान संसाधन
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All learning is local: Multi-agent learning in global reward games
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Multi-Agent Cooperative Vehicle Routing
द्वारा: Seshadri, Madhavan
प्रकाशित: (2017) -
Pulse width modulation for multi-agent systems
द्वारा: Meng, Xiangyu, और अन्य
प्रकाशित: (2017) -
Coordination and communication in deep multi-agent reinforcement learning
द्वारा: Schroeder de Witt, CA
प्रकाशित: (2021) -
Ignorable Information in Multi-Agent Scenarios
द्वारा: Milch, Brian, और अन्य
प्रकाशित: (2008)