Surpassing legacy approaches and human intelligence with hybrid single- and multi-objective Reinforcement Learning-based optimization and interpretable AI to enable the economic operation of the US nuclear fleet.
Paul SeurinKoroush ShirvanPublished in: CoRR (2024)
Keyphrases
- human intelligence
- multi objective
- reinforcement learning
- optimization algorithm
- machine intelligence
- information processing
- multiple objectives
- intelligent systems
- artificial intelligence
- human level
- evolutionary algorithm
- multi objective optimization
- human brain
- machine learning
- computer vision
- optimum design
- natural intelligence
- conflicting objectives
- objective function
- web intelligence
- human beings
- database
- logistics distribution
- social intelligence
- ai systems
- multi objective evolutionary algorithms
- cognitive science
- artificial neural networks
- expert systems
- image processing
- genetic algorithm