Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning.
Sanjeevan AhilanPeter DayanPublished in: CoRR (2019)
Keyphrases
- multi agent
- cooperative
- reinforcement learning
- multi agent systems
- multi agent reinforcement learning
- multiagent reinforcement learning
- multi agent environments
- distributed problem solving
- intelligent agents
- multiagent systems
- model free
- single agent
- cooperative agents
- autonomous agents
- state space
- reinforcement learning algorithms
- cooperative learning
- reinforcement learning agents
- coalition formation
- multiple agents
- temporal difference
- solve complex tasks
- hierarchical structure
- function approximation
- game theory
- software agents
- agent communication
- supervised learning
- multi agent planning
- machine learning
- neural network
- agent oriented
- reinforcement learning methods
- multi agent learning
- transfer learning
- heterogeneous agents
- optimal policy
- learning algorithm