Computationally efficient decision making under uncertainty in high-dimensional state spaces.
Dmitry KopitkovVadim IndelmanPublished in: IROS (2016)
Keyphrases
- decision making under uncertainty
- computationally efficient
- high dimensional
- state space
- influence diagrams
- decision makers
- decision making
- stochastic programming
- possibility theory
- decision analysis
- decision problems
- markov chain
- reinforcement learning
- computational complexity
- optimal policy
- feature space
- decision theory
- real option
- preference relations
- similarity search
- sensitivity analysis
- high dimensional data
- multi dimensional
- dynamic programming
- learning algorithm
- search space