Cognitive Load Theory (CLT) suggests that learning best takes place in a situation that is equivalent to individual cognitive design. Thus, this article proposes a learning model called Example-Problem-Based Learning (EPBL) which is a combination of two learning strategies: worked-examples and ...
However, these solutions could equally be implemented by hand or by using an alternative model-based framework – they are not specific to Infer.NET. Examples of alternative software frameworks that implement the model-based machine learning philosophy include BUGS [Lunn et al., 2000] and Stan [...
A Student Model to Assess Self-Explanation while Learning from Examples The SE-Coach is a tutoring system that supports students in applying the learning strategy known as self-explanation 鈥 the process of clarifying to oneself the solution of an example. In this paper, we describe the student...
This example shows how to define a custom training loop for a model-based reinforcement learning (MBRL) algorithm. You can use this workflow to train an MBRL policy with your custom training algorithm using policy and value function approximators from Reinforcement Learning Toolbox...
these solutions could equally be implemented by hand or by using an alternativemodel-based framework – they are not specific toInfer.NET. Examples of alternative software frameworks that implement themodel-based machine learningphilosophy include BUGS [Lunn et al., 2000] and Stan [Stan Development...
This is an example of the kind of subtle reasoning which model-based machine learning can achieve, which can give it an advantage over simpler approaches. For example, if we just used the number of questions needing a particular skill that a person got right as an indicator of that skill,...
We can generalise from these two examples to define the steps needed for any model-based machine learning application: Gather data for training and evaluating the model. Gather knowledge to help make appropriate modelling assumptions. Visualise the data to understand it better, check for data ...
Moreover, when Cascade is forced to explain exactly the parts of the examples that a subject explains, then it predicts most (60 to 90%) of the behavior that the subject exhibits during subsequent problem solving. Cascade has two kinds of learning. It learns new rules of physics (the task...
We simply divide Model-Based RL into two categories: Learn the Model and Given the Model. Learn the Model mainly focuses on how to build the environment model. Given the Model cares about how to utilize the learned model. And we give some examples as shown in the figure above. There are...
learning models represent better computational models than a single-level reinforcement-learning model, we compare their performance with that of a pure model-based reinforcement-learning (MB-RL) model. In addition, we compare the performance of these reinforcement-learning models with the performance ...