Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information.
Eike-Manuel BansbachVictor EliachevitchLaurent SchmalenPublished in: CoRR (2021)
Keyphrases
- resource allocation
- state information
- reinforcement learning
- state space
- action space
- wireless networks
- resource management
- wireless communication
- markov decision processes
- resource allocation problems
- reinforcement learning algorithms
- allocation problems
- optimal resource allocation
- optimal policy
- action models
- dynamic programming
- action selection
- transfer learning
- distributed resource allocation
- learning algorithm
- allocation strategies
- scarce resources
- stochastic processes
- machine learning
- supervised learning
- multi agent
- resource allocation decisions
- resource allocation and scheduling
- learning agent
- wireless channels
- markov decision process
- real valued
- orders of magnitude
- spatio temporal