Optimize Mobile Wireless Power Transfer by Finite State Machine Reinforcement Learning.
Yuan XingRiley YoungGiaolong NguyenMaxwell LefebvreTianchi ZhaoHaowen PanPublished in: CCWC (2022)
Keyphrases
- finite state machines
- mobile wireless
- reinforcement learning
- wireless networks
- ad hoc networks
- sensor networks
- transfer learning
- model checking
- data broadcasting
- base station
- power consumption
- finite state automata
- state machine
- power dissipation
- function approximation
- state transition
- low power
- previously learned
- state space
- digital circuits
- end to end
- energy consumption
- hidden markov models