To sustain academic integrity in an AI-present learning environment, educators must redesign assessment to foreground ...
This article underscores the critical need to integrate Noncommissioned Officers (NCOs) into the Army’s staff operations process through training.
Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, ...
China’s robotics race is entering a new phase. After years of pouring capital into robot arms, mobile platforms, sensors, and ...
Quick, predictable, and consistent activities provide a foundation to get students thinking and ready to learn.
Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Winterthur, ZH - January 21, 2026 - PRESSADVANTAGE - daylight AG, a Winterthur-based educational technology company, ...
Abstract: Multiagent meta reinforcement learning (MAMRL) enables multiagent systems (MASs) to adapt to multiple tasks. However, partial observability poses a significant challenge by hindering ...
Abstract: Deep neural networks (DNNs) have shown dominance in many tasks such as image classification. Its effectiveness depends on a large number of high-quality training data, which are often ...
This paper proposes an exploration-efficient deep reinforcement learning with reference (DRLR) policy framework for learning robotics tasks incorporating demonstrations. The DRLR framework is ...
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