Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning.
Jintao KeFeng XiaoHai YangJieping YePublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- multi agent
- online services
- semantic matching
- matching algorithm
- matching process
- function approximation
- cooperative
- state space
- optimal policy
- balancing exploration and exploitation
- online learning
- real time
- reinforcement learning algorithms
- service oriented
- autonomous agents
- image matching
- service providers
- dynamic programming
- reinforcement learning agents
- context aware
- ubiquitous computing
- service discovery
- model free
- service description
- temporal difference
- machine learning
- multi agent environments
- learning agents
- web services
- service delivery
- multiagent systems
- service composition
- multi agent systems
- agent technology
- learning process
- learning algorithm
- financial services
- multi agent reinforcement learning
- electronic commerce
- tourism industry
- business process