Self-driving vehicles can learn from human drivers, then sometimes out-drive them, according to US Army research. The team designed an algorithm that allows an autonomous ground vehicle to improve its existing navigation systems by watching how a human driver remote-controlled the same vehicle, calling the approach ‘adaptive planner parameter learning from demonstration’ – APPLD. The approach ...

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