The Context-Aware Learning Model: neuro-experience-powered Logistic Regression Backpropagation (CALM-nepLRB)
Joohee Suh, Dean F. Hougen · 2018
To deal with uncertain environments, autonomous agents must learn without supervision. However, reward-based interactive learning often exhibits limitations handling both generalizations and exceptions. For these reasons, we have recently introduced the Context-Aware Learning Model (CALM) and associated learning algorithms. Here we extend CALM by adding a coherent set of neurobiologically inspired mechanisms to produce the neuro-experience-powered version of CALM using logistic-regression backpropagation. CALM-nepLRB is evaluated using four metrics on six data sets and shows promising performance.