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Abstract: The implementation of adaptive testing for English proficiency assessments using deep reinforcement learning (DRL) to customize evaluations based on learner performance. The dataset utilized ...

Abstract: The selection of stepsizes has always been an elusive task in distributed optimization and learning. Although some stepsize-automation approaches have been proposed in centralized ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...