Neural Control Implementation for Tanker Systems Using Only 9 Receptive Field Units

Implementation of neural control architecture for tanker vehicles with minimalistic 9-unit receptive field configuration, featuring code-level insights on network optimization and scalability

Neural Control (Reinforcement Learning) for Tanker Heading

Neural Control (Reinforcement Learning) for Tanker Heading - Implementation using neural networks and reinforcement learning algorithms for autonomous navigation.