Expert testimony in Phoenix federal court detailed how Uber used internal data and a safety algorithm that predicted ...
Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...
Abstract: This paper addresses the data-locality-aware task assignment and scheduling problem for distributed job executions. Our goal is to minimize job completion times without prior knowledge of ...
Upgrading the Control Nexus in Arknights: Endfield is necessary to unlock more production rooms, like the Growth Chamber.
At the time, people felt like 2016 was cursed -- but at least we did not yet have a word for "doomscrolling." ...
Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
Abstract: The Sensor-Weapon-Target Assignment (SWTA) problem in modern air defense systems requires simultaneous optimization of sensor allocation, weapon assignment, and temporal coordination under ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Testing random outcomes teaches principles that apply wherever fairness matters. Random outcomes shape more of our world than ...
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