A synergistic reinforcement learning-based framework design in driving automation.
Yuqiong QiYang HuHaibin WuShen LiXiaochun YeDongrui FanPublished in: Comput. Electr. Eng. (2022)
Keyphrases
- reinforcement learning
- computational framework
- conceptual framework
- design principles
- computer aided
- probabilistic model
- information retrieval
- software architecture
- main contribution
- information systems
- theoretical framework
- building blocks
- user interface
- design patterns
- artificial intelligence
- engineering design
- design decisions
- real time
- simulation environment
- transition model