Information-theoretic sensor planning for large-scale production surveillance via deep reinforcement learning.
Ashutosh TewariKuang-Hung LiuDimitri J. PapageorgiouPublished in: Comput. Chem. Eng. (2020)
Keyphrases
- information theoretic
- reinforcement learning
- mutual information
- information theory
- production planning
- theoretic framework
- multi sensor
- information theoretic measures
- action selection
- multi modality
- log likelihood
- minimum description length
- information bottleneck
- planning problems
- sensor networks
- kullback leibler divergence
- computational learning theory
- jensen shannon divergence
- markov decision processes
- entropy measure
- optimal policy
- state space
- learning algorithm
- relative entropy
- data mining