learning (artificial intelligence); multi-agent systems; optimisation; resource allocation; 16-task DOP; 68-task DOP; MARL framework; consumable resource sharing; distributed optimization problem; global objective function; k-WTA approach; k-winner-take-all approach; motivated learning; multiagent reinforcement learning framework; nonconsumable resource dependency; time-critical tasks; Educational institutions; Games; Learning (artificial intelligence); Linear programming; Optimization; Pain; Resource management; Moti;
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机译:CCNet:集群协调网络,用于学习具有强化学习的多代理通信协议
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机译:使用多主体强化学习的分散式协调最佳斜坡计量
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机译:强化学习,共同学习和元学习的统一框架,如何在协作式多智能体系统中进行协调
机译:本质动机强化学习:发展机器人学习的有前途的框架