eNB Selection for Machine Type Communications Using Reinforcement Learning Based Markov Decision Process.
Yu-Jui LiuShin-Ming ChengYu-Lin HsuehPublished in: IEEE Trans. Veh. Technol. (2017)
Keyphrases
- markov decision process
- reinforcement learning
- state space
- markov decision processes
- optimal policy
- temporal difference learning
- markov games
- state action
- policy iteration
- infinite horizon
- partial observability
- finite horizon
- finite state
- reward function
- initial state
- reinforcement learning algorithms
- average cost
- model free
- function approximation
- partially observable
- transition probabilities
- action space
- linear programming
- higher order
- dynamic programming
- np hard