RL-Planner: Reinforcement Learning-Enabled Efficient Path Planning in Multi-UAV MEC Systems.
Muhammad EjazJinsong GuiMuhammad AsimMohammed Ahmed El-AffendiCarol J. FungAhmed A. Abd El-LatifPublished in: IEEE Trans. Netw. Serv. Manag. (2024)
Keyphrases
- path planning
- reinforcement learning
- path planner
- mobile robot
- collision avoidance
- dynamic and uncertain environments
- path planning algorithm
- robot path planning
- path finding
- dynamic environments
- unmanned aerial vehicles
- function approximation
- motion planning
- aerial vehicles
- obstacle avoidance
- degrees of freedom
- partially observable domains
- multi robot
- search and rescue
- indoor environments
- multiple robots
- autonomous navigation
- markov decision processes
- learning algorithm
- multi agent
- reinforcement learning algorithms
- autonomous vehicles
- heuristic search
- collision free
- state space
- potential field
- model free
- autonomous learning
- dynamic programming
- robotic systems
- optimal control
- optimal policy
- navigation tasks
- temporal difference
- optimal path
- autonomous systems
- search algorithm