Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...
Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...
Explaining search visibility to stakeholders used to be as simple as pointing to a number one ranking. Now, as search ...
Researchers at EPFL have developed 'Synthegy', a framework that uses large language models to evaluate and guide chemical synthesis planning and reaction mechanism analysis through natural-language ...
New research and industry developments show AI is transforming structural engineering through specialized tools that optimize ...
This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
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