A Multiagent Deep Reinforcement Learning Approach for Path Planning in Autonomous Surface Vehicles: The Ypacaraí Lake Patrolling Case.
Samuel Yanes LuisDaniel Gutiérrez-ReinaSergio L. Toral MarínPublished in: IEEE Access (2021)
Keyphrases
- path planning
- multi agent
- autonomous vehicles
- unmanned aerial vehicles
- reinforcement learning
- multi robot
- ground vehicles
- mobile robot
- obstacle avoidance
- multiagent systems
- autonomous navigation
- single agent
- cooperative
- path planning algorithm
- dynamic environments
- autonomous underwater vehicles
- autonomous agents
- path finding
- intelligent agents
- multi agent systems
- motion planning
- trajectory planning
- potential field
- search and rescue
- configuration space
- robot path planning
- collision avoidance
- dynamic and uncertain environments
- robot control
- aerial vehicles
- autonomous systems
- unknown environments
- state space
- route planning
- multiple agents
- degrees of freedom
- multiple robots
- optimal path
- indoor environments
- uncertain environments
- software agents