Autonomous driving policy learning from demonstration using regression loss function.
Yukun XiaoYisheng AnTing LiNaiqi WuWei HePeng LiPublished in: Knowl. Based Syst. (2024)
Keyphrases
- loss function
- autonomous driving
- reproducing kernel hilbert space
- gradient boosting
- support vector
- grand challenge
- stereo vision
- pairwise
- logistic regression
- learning to rank
- vision algorithms
- risk minimization
- regression model
- empirical risk
- urban traffic
- regression methods
- optimal policy
- support vector regression
- stochastic gradient descent
- linear regression
- model selection
- convex loss functions
- uniform convergence
- base learners
- solution path
- computer vision systems
- boosting framework
- regression problems
- post processing
- square loss
- object recognition