Recently, model-based reinforcement learning has been considered a crucial approach to applying reinforcement learning in the physical world, primarily due to its efficient utilization of samples.

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

Higher education must move beyond static campus-based learning and adapt to an artificial intelligence (AI)-native world, ...

Long-Term Survival and Biomarker Analysis Evaluating Neoadjuvant Plus Adjuvant Relatlimab (anti-LAG3) and Nivolumab (anti-PD1) in Patients With Resectable Melanoma Our study included a broad cohort of ...

School districts in every state now have the green light to establish competency-based education programs and models in their classrooms—but they have a lot of work to do on the operational side to ...