Multi-Agent Deep Reinforcement Learning for Resource Allocation in the Multi-Objective HetNet.
Hongrui NieShaosheng LiYong LiuPublished in: IWCMC (2021)
Keyphrases
- resource allocation
- multi objective
- reinforcement learning
- multi agent
- decentralized decision making
- evolutionary algorithm
- multi objective optimization
- resource allocation problems
- resource management
- cooperative
- genetic algorithm
- allocation problems
- state space
- single agent
- multi agent systems
- objective function
- function approximation
- multiple objectives
- resource requirements
- software agents
- multiagent systems
- optimal resource allocation
- game theory
- nsga ii
- markov decision processes
- model free
- reinforcement learning algorithms
- traffic signal control
- allocate resources
- allocation strategies
- combinatorial auctions
- learning agents
- resource consumption
- intelligent agents
- resource availability
- social welfare
- machine learning
- scarce resources
- learning process
- resource allocation and scheduling
- trading agents
- optimal policy
- market equilibrium
- distributed resource allocation