A Controllable Agent by Subgoals in Path Planning Using Goal-Conditioned Reinforcement Learning.
Gyeong Taek LeeKang Jin KimPublished in: IEEE Access (2023)
Keyphrases
- path planning
- state abstraction
- path finding
- reinforcement learning
- dynamic environments
- mobile robot
- agent learns
- multi agent
- path planning algorithm
- collision free
- collision avoidance
- navigation tasks
- obstacle avoidance
- action selection
- multi robot
- motion planning
- dynamic and uncertain environments
- state space
- optimal path
- potential field
- learning agent
- indoor environments
- path planner
- markov decision processes
- autonomous agents
- autonomous vehicles
- trajectory planning
- multiple robots
- decision making
- robot path planning
- multi agent systems
- intelligent agents
- configuration space
- multiagent systems
- software agents
- evolutionary algorithm
- search space
- agent model
- aerial vehicles
- autonomous robots
- degrees of freedom