An ML-Aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers.
Dinesh Cyril SelvarajShailesh HegdeNicola AmatiFrancesco DeflorioCarla-Fabiana ChiasseriniPublished in: IEEE Trans. Intell. Veh. (2023)
Keyphrases
- reinforcement learning
- autonomous vehicles
- maximum likelihood
- pedestrian detection
- real time
- reinforcement learning algorithms
- traffic management
- vehicle detection
- function approximation
- model free
- robotic control
- vehicle tracking
- traffic monitoring
- optimal policy
- state space
- dynamic programming
- machine learning
- path planning
- navigation systems
- video sequences
- temporal difference learning
- multi agent