Deep Reinforcement Learning with Applications in Transportation.
Zhiwei (Tony) QinJian TangJieping YePublished in: KDD (2019)
Keyphrases
- reinforcement learning
- transportation systems
- function approximation
- learning algorithm
- temporal difference
- machine learning
- model free
- reinforcement learning algorithms
- markov decision processes
- decision making
- transportation networks
- control problems
- deep learning
- transportation problem
- direct policy search
- public transportation
- data sets
- transfer learning
- optimal policy
- state space
- multi agent
- supervised learning
- reinforcement learning methods
- search space
- multi agent reinforcement learning
- relational reinforcement learning
- neural network