Abstract: This article studies the distributed constrained optimization problems for the discrete-time second-order multiagent systems (MASs), in which each agent privately owns local cost function ...
LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...
AI can make B2B marketing faster, but speed alone will not make brands memorable. Radish’s Caroline Clark explains why Q3 ...
Abstract: Deep Reinforcement Learning (DRL) has gained significant attention for its ability to solve combinatorial optimization problems, including the Traveling Salesman Problem (TSP). While ...
Restaurant operators have no shortage of data. POS systems capture sales. Scheduling platforms track labor. Inventory tools ...
ICML 2026 opens in Seoul on July 6 with a record 23,918 submissions — more than double last year — and a research program ...
Learn more About two weeks ago, Advanced Micro Devices announced the acquisition of MEXT, a start-up that has built ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results