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Found 3 papers, 1 papers with code
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
Compared with the completion task, the forecasting task is more difficult that faces two main challenges: (1) how to effectively model the time information to handle future timestamps?
Reinforced Hybrid Genetic Algorithm for the Traveling Salesman Problem
In the hybrid algorithm, LKH can help EAX-GA improve the population by its effective local search, and EAX-GA can help LKH escape from local optima by providing high-quality and diverse initial solutions.
Leveraging Large Language Model as Simulated Patients for Clinical Education
Simulated Patients (SPs) play a crucial role in clinical medical education by providing realistic scenarios for student practice.
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