A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning.
Majid MoghadamGabriel Hugh ElkaimPublished in: CoRR (2019)
Keyphrases
- sequential decision making
- reinforcement learning
- hierarchical architecture
- autonomous driving
- grand challenge
- interactive dynamic influence diagrams
- stereo vision
- temporal difference
- function approximation
- reinforcement learning algorithms
- state space
- markov decision processes
- vision algorithms
- search mechanism
- model free
- dynamic programming
- urban traffic
- decision problems
- machine learning
- action selection
- learning algorithm
- multi agent
- optimal policy
- markov chain
- np hard