Measurement Optimization under Uncertainty using Deep Reinforcement Learning.
Amin JabiniErik A. JohnsonPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- robust optimization
- optimization problems
- global optimization
- optimization algorithm
- state space
- optimization model
- function approximation
- incomplete information
- partial observability
- measurement error
- multi agent
- dynamic programming
- discrete optimization
- decision making
- data sets
- possibility theory
- policy search
- decision theory
- belief functions
- optimization methods
- combinatorial optimization
- multi objective
- learning process
- learning algorithm