Scalable and Transferable Reinforcement Learning for Multi-Agent Mixed Cooperative-Competitive Environments Based on Hierarchical Graph Attention.
Yining ChenGuanghua SongZhenhui YeXiaohong JiangPublished in: Entropy (2022)
Keyphrases
- multi agent
- cooperative
- reinforcement learning
- multi agent environments
- multi agent reinforcement learning
- multi agent systems
- random walk
- multiagent reinforcement learning
- multiagent systems
- directed graph
- graph theory
- state space
- dynamic environments
- graph model
- single agent
- graph representation
- multiple agents
- attributed graphs
- cooperating agents
- bipartite graph
- reinforcement learning algorithms
- cooperative agents
- connected components
- autonomous agents
- structured data
- intelligent agents
- learning algorithm
- function approximation
- game theory
- directed acyclic graph
- agent oriented
- optimal policy
- hierarchical reinforcement learning
- machine learning
- graph theoretic
- optimal control
- visual attention
- coalition formation
- graph mining
- memory efficient
- learning agents
- weighted graph
- heterogeneous agents
- hierarchical structure
- markov decision processes
- learning process
- real world
- binary space partitioning
- autonomous mental development