Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic.
Mikael HenaffAlfredo CanzianiYann LeCunPublished in: CoRR (2019)
Keyphrases
- learning scheme
- learning process
- prior knowledge
- probabilistic model
- learning algorithm
- learning models
- learning systems
- online learning
- supervised learning
- inference process
- learning phase
- computational model
- objective function
- real time
- optimal policy
- probability distribution
- active learning
- prior information
- prediction model
- bayesian networks
- decision trees
- machine learning