Cost-Bounded Active Classification Using Partially Observable Markov Decision Processes.
Bo WuMohamadreza AhmadiSuda BharadwajUfuk TopcuPublished in: ACC (2019)
Keyphrases
- partially observable markov decision processes
- cost sensitive
- classification accuracy
- dynamical systems
- planning under uncertainty
- finite state
- feature selection
- partially observable stochastic games
- decision problems
- training set
- decision trees
- search space
- nash equilibrium
- belief state
- reinforcement learning
- machine learning
- partially observable markov