Common challenges of deep reinforcement learning applications development: an empirical study.
Mohammad Mehdi MorovatiFlorian TambonMina TaraghiAmin NikanjamFoutse KhomhPublished in: Empir. Softw. Eng. (2024)
Keyphrases
- reinforcement learning
- lessons learned
- software engineering
- neural network
- learning process
- design principles
- multi agent
- information processing
- markov decision processes
- state space
- case study
- open issues
- early days
- database
- lingua franca
- function approximation
- deep learning
- development process
- knowledge based systems
- decision support
- supervised learning
- multi agent systems
- information systems
- artificial intelligence
- data mining
- data sets
- real time