Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions
2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)(2021)
摘要
Applications of reinforcement learning (RL) are popular in autonomous driving tasks. That being said, tuning the performance of an RL agent and guaranteeing the generalization performance across variety of different driving scenarios is still largely an open problem. In particular, getting good performance on complex road and weather conditions require exhaustive tuning and computation time. Curri...
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关键词
Training,Systematics,Roads,Conferences,Reinforcement learning,Complexity theory,Task analysis
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