Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving.
Christopher DiehlTimo SievernichMartin KrügerFrank HoffmannTorsten BertramPublished in: IEEE Robotics Autom. Lett. (2023)
Keyphrases
- reinforcement learning
- model free
- semi automated
- reinforcement learning algorithms
- function approximation
- data driven
- learning algorithm
- partial observability
- robust optimization
- sequential decision problems
- computer aided
- optimal policy
- incomplete information
- uncertain data
- fully automated
- markov decision processes
- temporal difference
- state space
- belief functions
- decision theory
- action selection
- dynamic programming
- temporal difference learning
- artificial intelligence
- policy search
- neural network