Triple

Target class: self-organized learning experiment
Context triple: [Hole in the Wall experiment, instanceOf, self-organized learning experiment]

• A. adaptive learning rate method
  An adaptive learning rate method is an optimization technique that automatically adjusts the step size for each parameter during training based on past gradient information to improve convergence speed and stability.
• B. Monte Carlo reinforcement learning algorithm
  A Monte Carlo reinforcement learning algorithm is a method that learns optimal policies by estimating value functions from complete, sampled episodes of experience without requiring a model of the environment’s dynamics.
• C. learning theory chosen
  Learning theory is the conceptual framework that explains how knowledge and skills are acquired, processed, retained, and applied through experience, instruction, and practice.
• D. active learning strategy
  An active learning strategy is a structured approach to teaching and studying that engages learners directly in meaningful tasks—such as problem-solving, discussion, and reflection—to deepen understanding and improve long-term retention.
• E. learning rule
  A learning rule is a formal method or algorithm that specifies how a system updates its internal parameters or representations based on experience or data to improve performance over time.
• F. None of above.