Multi-Agent Deep Reinforcement Learning Based Distributed Resource Allocation.
Odilbek UrmonovHyungWon KimPublished in: ISCAS (2021)
Keyphrases
- learning agents
- distributed resource allocation
- multi agent
- reinforcement learning
- multi agent systems
- single agent
- function approximation
- cooperative
- multiagent systems
- resource allocation
- intelligent agents
- autonomous agents
- learning agent
- state space
- complex environments
- multi agent environments
- reinforcement learning algorithms
- reinforcement learning agents
- machine learning
- markov decision processes
- model free
- learning algorithm
- heuristic search
- multiple agents
- optimal policy
- learning process