(τ, ϵ)-Greedy Reinforcement Learning For Anti-Jamming Wireless Communications.
Pei-Gen YeYuan-Gen WangJin LiLiang XiaoGuopu ZhuPublished in: GLOBECOM (2020)
Keyphrases
- wireless communication
- reinforcement learning
- wireless networks
- computer simulation
- communication networks
- short range
- dynamic programming
- wireless sensor networks
- greedy algorithm
- wifi
- mobile communication
- search algorithm
- wireless transmission
- mobile computing
- wireless channels
- wireless technologies
- learning algorithm
- state space
- communication technologies
- physical layer
- multi agent
- cognitive radio
- fourth generation
- signal to noise ratio
- distributed databases
- power consumption
- context aware
- data processing
- hidden markov models
- data sets