A Deep Reinforcement Learning Based Congestion Control Mechanism for NDN.
Dehao LanXiaobin TanJinyang LvYang JinJian YangPublished in: ICC (2019)
Keyphrases
- reinforcement learning
- function approximation
- model free
- robotic control
- temporal difference learning
- reinforcement learning algorithms
- temporal difference
- multi agent
- dynamic programming
- congestion control
- optimal policy
- partially observable
- state space
- transmission rate
- traffic volume
- machine learning
- markov decision processes
- optimal control
- real time
- action selection
- transfer learning
- ip networks
- deep learning
- learning process
- multi agent reinforcement learning