Uncertainty-based Decision Making Using Deep Reinforcement Learning.
Xujiang ZhaoShu HuJin-Hee ChoFeng ChenPublished in: FUSION (2019)
Keyphrases
- reinforcement learning
- decision making
- sequential decision making
- action selection
- decision making under uncertainty
- decision makers
- function approximation
- partial observability
- fuzzy linear programming
- decision theory
- state space
- learning algorithm
- optimal policy
- uncertain data
- real option
- utility theory
- inherent uncertainty
- influence diagrams
- belief functions
- markov decision processes
- supply chain
- supervised learning
- information processing
- decision support
- bayesian networks
- multi agent
- temporal difference
- expected utility
- group decision making
- decision analysis
- decision support system
- temporal difference learning
- cumulative prospect theory
- policy search
- bounded rationality
- preference elicitation
- learning problems
- function approximators
- possibility theory
- reinforcement learning algorithms
- transfer learning
- machine learning
- decision problems