Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks.
Michael Y. FatemiWesley A. SuttleBrian M. SadlerPublished in: AAMAS (2024)
Keyphrases
- path planning
- neural network
- reinforcement learning
- mobile robot
- path planning algorithm
- collision avoidance
- multi robot
- dynamic environments
- obstacle avoidance
- minimum cost path
- potential field
- indoor environments
- motion planning
- dynamic and uncertain environments
- function approximators
- robot path planning
- optimal path
- degrees of freedom
- path finding
- directed graph
- path planner
- multi agent
- autonomous vehicles
- weighted graph
- state space
- genetic algorithm
- multiple robots
- trajectory planning
- unmanned aerial vehicles
- dead ends
- optimal policy
- configuration space
- topological map
- real robot
- action selection