Graph Convolutional Reinforcement Learning for Collaborative Queuing Agents.
Hassan FawazJulien LescaPham Tran Anh QuangJérémie LeguayDjamal ZeghlachePaolo MedaglianiPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- multi agent
- learning agents
- multi agent systems
- multi agent reinforcement learning
- action selection
- intelligent agents
- multiple agents
- single agent
- multiagent systems
- function approximation
- cooperative
- multi agent environments
- agent receives
- autonomous agents
- directed graph
- software agents
- learning agent
- graph theory
- multiagent learning
- agent architecture
- mobile agents
- collaborative learning
- graph structure
- evolutionary learning
- multiagent reinforcement learning
- machine learning
- reinforcement learning agents
- graph representation
- robocup soccer
- learning capabilities
- deep learning
- directed acyclic graph
- learning algorithm
- coalition formation
- optimal policy
- graph model
- weighted graph
- end to end
- agent model
- win win
- dynamic environments
- resource allocation
- temporal difference
- complex environments
- model free
- decision theoretic
- scheduling algorithm
- bipartite graph
- artificial agents
- knowledge sharing
- reinforcement learning algorithms
- graphical models
- dynamic programming
- queuing model
- queuing systems
- decision making