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Ignition: An End-to-End Supervised Model for Training Simulated Self-Driving Vehicles
We introduce Ignition: an end-to-end neural network architecture for training unconstrained self-driving vehicles in simulated environments.
Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods
We present a method for a wine recommendation system that employs multidimensional clustering and unsupervised learning methods.
Theory of Machine Networks: A Case Study
We propose a simplification of the Theory-of-Mind Network architecture, which focuses on modeling complex, deterministic machines as a proxy for modeling nondeterministic, conscious entities.
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