Uncertainty Quantification for Exploration: Using Bayesian Neural Networks and Dropout Regularisation to Drive Epistemic Exploration in Novel State Spaces
Modern intelligent systems are increasingly expected to operate in complex, unfamiliar environments where complete information is rarely available. In such settings, an agent’s ability to understand what it does not…
