Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...
1don MSN
AI’s Memorization Crisis
O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
Abstract: The capacitated electric vehicle routing problem (CEVRP) extends the traditional vehicle routing problem by simultaneously considering the service order of the customers and the recharging ...
Abstract: Today’s industrial production models are becoming increasingly complex. Jobs of the same type are usually divided into groups for machining. Factories are often designed in a distributed ...
RLOP is a generic and lightweight framework for reinforcement learning (RL), optimization (Opt), and planning/search algorithms in C++, aimed at simplifying studying, comparing and integrating ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback