Learn to Drive from Pixels only
Autonomous Driving with an RC car using Reinforcement Learning and Evolution Strategies
This work used a RC car for autonomous driving. The car learned to drive by itself through RL and Evolution Strategies.
This work is structured as follows:
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In yolo An object detector is implemented to detect cones.
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In rl the reinforcement learning algorithms are implemented
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In evo the evolution strategies with a master-worker framework is implemented
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In simulations The Unity simulations for training the car are contained