A Cyclic Hyper-parameter Selection Approach for Reinforcement Learning-based UAV Path Planning.
Michael R. JonesSoufiene DjahelKristopher WelshPublished in: CCNC (2024)
Keyphrases
- path planning
- parameter selection
- reinforcement learning
- mobile robot
- adaptive regularization
- collision avoidance
- unmanned aerial vehicles
- path planning algorithm
- dynamic environments
- multi robot
- potential field
- motion planning
- model selection
- obstacle avoidance
- path finding
- aerial vehicles
- search and rescue
- dynamic and uncertain environments
- optimal path
- learning algorithm
- degrees of freedom
- path planner
- robot path planning
- autonomous vehicles
- collision free
- state space
- genetic algorithm
- robot control
- configuration space
- robot navigation
- machine learning