Uncertainty-aware Model-based Policy Optimization.
Tung-Long VuongKenneth TranPublished in: CoRR (2019)
Keyphrases
- robust optimization
- optimization algorithm
- optimization process
- discrete optimization
- asymptotically optimal
- constrained optimization
- uncertain data
- neural network
- possibility theory
- global optimization
- optimization method
- data driven
- data sets
- dynamic programming
- cost function
- artificial intelligence
- information technology
- decision theory
- policy making
- optimization strategies
- dynamic pricing
- machine learning
- model free
- optimal policy
- optimization problems
- linear programming
- decision problems
- differential evolution