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Опубликовано 30 ноября 2017, 15:59
Reinforcement learning is emerging as a powerful tool for autonomous driving, enabling complex maneuvers in a wide range of traffic situations. This session demonstrates how to build a reinforcement learning engine for autonomous vehicles on AWS, showing how it receives environmental input from object detection and produces outputs for controlling the vehicle’s steering, acceleration, and braking.
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