MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning.
Stephanie MilaniZhicheng ZhangNicholay TopinZheyuan Ryan ShiCharles A. KamhouaEvangelos E. PapalexakisFei FangPublished in: ECML/PKDD (4) (2022)
Keyphrases
- multi agent reinforcement learning
- decision trees
- knowledge acquisition
- learning agents
- reinforcement learning
- learning process
- learning algorithm
- learning problems
- stochastic games
- machine learning
- learning environment
- supervised learning
- domain experts
- learning tasks
- inductive learning
- cooperative multi agent systems