Titlebook: Distributed Artificial Intelligence; Third International Jie Chen,Jér?me Lang,Dengji Zhao Conference proceedings 2022 Springer Nature Swit

MIME

Patterns of diversity in the boreal forested on game rules without human intervention. Most recent work has successfully applied deep reinforcement learning to GGP. This paper continues this line of work by integrating the Memory-Augmented Monte Carlo Tree Search algorithm (M-MCTS) with deep reinforcement learning for General Game Playing.

胎兒

Patterns of diversity in the boreal foresttion framework by the intersection of expansions of the conflict-free labellings of argumentation frameworks before updating. Then we select the conflict-free labellings which have the least illegally labelled arguments when restricted to part of both argumentation frameworks in the update process.

大廳

LASH

Distributed Artificial Intelligence978-3-030-94662-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

Congestion

https://doi.org/10.1007/978-3-030-94662-3artificial intelligence; autonomous agents; computer networks; computer science; computer systems; educat

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978-3-030-94661-6Springer Nature Switzerland AG 2022

BABY

GRIEF

Safe Distributional Reinforcement Learning,tributional RL perspective leads to a more efficient algorithm while additionally catering for natural safe constraints. We empirically validate our propositions against appropriate state-of-the-art safe RL algorithms.

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The Positive Effect of User Faults over Agent Perception in Collaborative Settings and Its Use in Aof collaborative agents. In particular, we present a proof-of-concept for such augmented design, where the agent, whenever in charge of allocating the tasks or can pick its own tasks, deliberately leave the user with a relatively difficult task for increasing the chance for a user fault, which in turn increases user satisfaction.

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