Intelligent Resource Allocation for Train-to-Train Communication: A Multi-Agent Deep Reinforcement Learning Approach.
Junhui ZhaoYang ZhangYiwen NieJin LiuPublished in: IEEE Access (2020)
Keyphrases
- resource allocation
- reinforcement learning
- multi agent
- game theory
- resource management
- resource sharing
- resource allocation problems
- optimal resource allocation
- allocation problems
- resource requirements
- resource availability
- state space
- markov decision processes
- scarce resources
- optimal policy
- multiagent systems
- machine learning
- dynamic programming
- communication systems