A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control.
Supriyo GhoshSean LagunaShiau Hong LimLaura WynterHasan PoonawalaPublished in: ICAPS (2021)
Keyphrases
- ensemble methods
- multi agent reinforcement learning
- air traffic control
- prediction accuracy
- benchmark datasets
- machine learning methods
- multi agent
- random forest
- decision trees
- air traffic
- situation awareness
- reinforcement learning
- multi agent systems
- learning agents
- multi agent learning
- stochastic games
- distributed cognition
- cooperative
- ensemble classifier
- artificial intelligence
- distributed control
- genetic algorithm
- autonomous agents
- genetic programming
- fuzzy logic