Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics.
Xiaodong NingLina YaoXianzhi WangBoualem BenatallahFlora D. SalimPari Delir HaghighiPublished in: MobiQuitous (2018)
Keyphrases
- reinforcement learning
- function approximation
- spatio temporal
- temporal analysis
- temporal difference
- state space
- reinforcement learning algorithms
- lead time
- multi agent
- model free
- markov decision processes
- temporal filtering
- inventory systems
- space time
- action space
- inventory management
- data sets
- function approximators
- decision making
- inventory control
- genetic algorithm
- reinforcement learning methods
- stochastic approximation
- transition model