MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees.
Zichuan LiuYuanyang ZhuZhi WangChunlin ChenPublished in: CoRR (2022)
Keyphrases
- knowledge acquisition
- multi agent reinforcement learning
- decision trees
- machine learning
- classification rules
- multi agent
- knowledge engineering
- multi agent systems
- reinforcement learning
- knowledge based systems
- learning agents
- multi agent learning
- recurrent neural networks
- stochastic games
- training data
- distributed control
- machine learning algorithms
- learning algorithm
- fuzzy logic
- learning agent
- solving problems
- dynamic environments
- state space