Evolving Meta-Level Reasoning with Reinforcement Learning and A* for Coordinated Multi-Agent Path-planning.
Mona AlshehriNapoleon H. ReyesAndre L. C. BarczakPublished in: AAMAS (2020)
Keyphrases
- path planning
- multi agent
- reinforcement learning
- meta level reasoning
- default reasoning
- constraint programming
- answer set programming
- mobile robot
- path planning algorithm
- collision avoidance
- predicate invention
- meta level
- dynamic environments
- multi agent systems
- multi robot
- multiple robots
- obstacle avoidance
- multiagent systems
- motion planning
- state space
- path finding
- potential field
- autonomous agents
- robot path planning
- autonomous vehicles
- belief revision
- optimal path
- machine learning
- path planner
- dynamic and uncertain environments
- learning algorithm
- default logic
- inductive logic programming
- degrees of freedom
- software agents
- nonmonotonic reasoning
- probabilistic reasoning
- logic programming
- programming language
- dynamic programming
- bayesian networks