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LOKI-G is a machine learning project designed for physical machines, enabling edge AI capabilities. It adapts the LOKI algorithm for training via imitation and reinforcement learning using Closed-form Continuous-Time Neural Networks and Neural Circuit Policies.

Luca Albinescu's Dissertation Project for Newcastle University. This project uses code from multiple sources in order to create a combined Imitation and Reinforcement Learning Agent that can drive autonomously inside the f1tenth (gym) simulated environment.