Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
Ishan JindalZhiwei (Tony) QinXuewen ChenMatthew S. NoklebyJieping YePublished in: CoRR (2018)
Keyphrases
- spatio temporal
- reinforcement learning
- optimal policy
- policy search
- markov decision process
- function approximation
- state space
- data mining
- control policies
- fitted q iteration
- pattern mining
- mining algorithm
- multi agent reinforcement learning
- multiagent reinforcement learning
- space time
- partially observable markov decision processes
- frequent patterns
- model free
- spatial and temporal
- spatial temporal
- sequential patterns
- frequent itemsets
- knowledge discovery
- decision problems
- transfer learning
- action selection
- itemsets
- spatio temporal data
- control policy
- text mining
- markov decision problems
- multi agent
- image sequences
- hierarchical reinforcement learning
- machine learning