Dynamic Pricing Strategy for Electromobility using Markov Decision Processes.
Jan MrkosAntonín KomendaMichal JakobPublished in: ICAART (2) (2018)
Keyphrases
- markov decision processes
- pricing strategies
- reinforcement learning
- state space
- finite state
- transition matrices
- optimal policy
- dynamic programming
- finite horizon
- policy iteration
- infinite horizon
- action space
- average reward
- machine learning
- decision theoretic planning
- search algorithm
- bayesian networks
- reward function
- average cost
- software agents
- cost function
- dynamic pricing