Abstract: In this article, an optimal position control framework based on online adaptive dynamic programming is proposed for magnetically actuated capsules (MACs). First, sensorless magnetic force ...

Abstract: In last decades, dynamic resource programming in partial resource domains has been extensively investigated for single time slot optimizations. However, with the emerging real-time media ...

The president of the arts center cited the TV show “So You Think You Can Dance” as the type of programming that could be more broadly appealing to audiences. By Julia Jacobs The John F. Kennedy Center ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...

ABSTRACT: Markov modeling of HIV/AIDS progression was done under the assumption that the state holding time (waiting time) had a constant hazard. This paper discusses the properties of the hazard ...

OpenAI finally unveiled its rumored “Strawberry” AI language model on Thursday, claiming significant improvements in what it calls “reasoning” and problem-solving capabilities over previous large ...

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