The smart Trick of proceedings of the aaai conference on artificial intelligence That No One is Discussing
The smart Trick of proceedings of the aaai conference on artificial intelligence That No One is Discussing
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Match'In - Pilot venture of the algorithm-based mostly decision support procedure for individualized suggestions of municipalities for the integration of refugees
If an previously version of your respective paper was turned down from One more conference with archival proceedings and double-blind examining through the twelve months previous the submission deadline (which include ECAI-2023, AAAI-2024, or IJCAI-2024), you could supplement your submission having a doc detailing how you have taken the opinions received into account to improve your paper.
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Regulatory initiatives are rising around the globe to guard versus the unintended implications of AI technological innovation. Companies have to be wanting to comply.
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The favored Q-Mastering algorithm is thought to overestimate action values below particular situations. It was not Beforehand recognised regardless of whether, in apply, this sort of overestimations are typical, whether or not they hurt general performance, and whether or not they can typically be prevented. On this paper, we solution every one of these queries affirmatively. Specifically, we very first display which the modern DQN algorithm, which combines Q-Discovering that has a deep neural network, suffers from sizeable overestimations in a few game titles while in the Atari 2600 domain. We then exhibit the idea guiding the Double Q-Mastering algorithm, which was introduced in a tabular placing, may be generalized to work with big-scale functionality approximation.
Observe two: Presentation proposals that surface to This system committee as “marketing and advertising” might be rejected. Abstracts with a robust and persuasive consumer use-situation with the main target about the innovation information discovery enabled by the solution greater than the solution may be considered.