Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps.
Shathushan SivashangaranAzim EskandarianPublished in: Adv. Artif. Intell. Mach. Learn. (2023)
Keyphrases
- ground vehicles
- reinforcement learning
- autonomous learning
- path planning
- active exploration
- exploration strategy
- autonomous vehicles
- action selection
- land vehicle
- exploration exploitation
- function approximation
- collision avoidance
- model based reinforcement learning
- ground surface
- real time
- unknown environments
- optimal policy
- exploration exploitation tradeoff
- robot control
- model free
- markov decision processes
- balancing exploration and exploitation
- reinforcement learning algorithms
- obstacle avoidance
- learning algorithm
- pedestrian detection
- state space
- neural network
- vehicle detection
- machine learning
- learning process
- optimal control
- policy search
- unmanned aerial vehicles
- deep learning
- learning capabilities