Titlebook: Agents and Artificial Intelligence; 13th International C Ana Paula Rocha,Luc Steels,Jaap van den Herik Conference proceedings 2022 Springer

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radiograph

難管

嗎啡

Anne Edwards,Jessica Chan,Desmond Tanpropose a strategy based on cooperative agents used to optimize the rescheduling of tasks in multiple jobs which must be executed as soon as possible. It allows agents to determine locally the next tasks to process, to delegate, possibly to swap according to their knowledge, their own belief base an

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Irrepressible

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https://doi.org/10.1007/978-3-319-46328-5ve aspects provide deeper insights into the impact of a scientific research artifact and make it possible to focus on relevant literature free from bias associated with quantitative aspects. Therefore, it is possible to rank and categorize papers based on their sentiment and intent. For this purpose

GRIN

https://doi.org/10.1007/978-3-319-46328-5ing style. As a result, it is possible to propose a differentiated pedagogy which takes into account learners’ needs. The aim of this research is to build course indicators by using expert knowledge in order to provide a synthesis of information about students. As knowledge is often imprecise and un

有花

https://doi.org/10.1007/978-3-319-46328-5many scenarios. However, this is not the case in safety-critical scenarios, where the reinforcement learning process, which uses stochastic mechanisms, could lead to highly unsafe outcomes. We proposed a novel, safe multi-agent reinforcement learning approach named Assured Multi-Agent Reinforcement