首页|Investigators from University of Florence Target Intelligent Vehicles (Addressin g Limitations of State-aware Imitation Learning for Autonomous Driving)
Investigators from University of Florence Target Intelligent Vehicles (Addressin g Limitations of State-aware Imitation Learning for Autonomous Driving)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Transportation - Intelligent Vehicles are discussed in a new report. According to news reporting originating in Florence, Italy, by NewsRx journalists, research stated, “Conditional Imitat ion learning is a common and effective approach to train autonomous driving agen ts. However, two issues limit the full potential of this approach: (i) the inert ia problem, a special case of causal confusion where the agent mistakenly correl ates low speed with no acceleration, and (ii) low correlation between offline an d online performance due to the accumulation of small errors that brings the age nt in a previously unseen state.”
FlorenceItalyEuropeIntelligent Veh iclesTransportationUniversity of Florence
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