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This workshop aims to inspire discussion and collaboration involving researchers in the fields of AI planning and reinforcement Finding out. We purpose to bridge the gap amongst the two communities, facilitate the discussion of dissimilarities and similarities in current approaches, and persuade collaboration throughout the fields.

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At this instant, there isn't any limit on the utmost range of attendees. The workshop organizers will talk to the convention organizers if the volume of attendees exceeds the expectation.   

This workshop is customized for any person eager on exploring the chopping-edge developments in AI and ML, from tech pros trying to integrate AI into their function, to college students and hobbyists fascinated by AI's abilities. No prior deep tech background is necessary, just an enthusiasm for AI and its probable.

The paper submissions must be in pdf format and strictly use the AAAI official templates. All submissions should be anonymous and conform to AAAI expectations for double-blind evaluate.  

This workshop will carry alongside one another scientists and practitioners to foster collaboration, share insights, and encourage new investigation directions during the dependable advancement and deployment of LLM systems.

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The approved papers will probably be publicly accessible on OpenReview, although the workshop is non-archival and does not have formal proceedings. 

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These problems involve the need for State-of-the-art AI designs that could manage the heterogeneity of 6G networks, guaranteeing security and privacy, and creating successful useful resource administration methods to guidance the demands of AI-driven apps. Addressing these issues is vital for unlocking the total probable of AI in up coming-era networks. To that close, this workshop aims to foster dialogue, discovery, and dissemination of novel ideas and approaches in effective instruction and sturdy deployment of AI/ML products over wi-fi networks. 

All submissions will undertake double-blind peer review, plus the accepted papers will likely be introduced as oral or poster displays on the workshop. A minimum of one author of each recognized paper need to sign up and show up at the workshop to current their get the job done.

We count on 50-seventy five contributors and probably far more In keeping with our past encounters. We warmly invite scientists, practitioners, and learners from equally academia and marketplace to affix us in Discovering and talking about alternatives for addressing the issues of scalability and performance in AI.

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