A Maximum Entropy Deep Reinforcement Learning Neural Tracker.
Shafa BalaramKai ArulkumaranTianhong DaiAnil Anthony BharathPublished in: MLMI@MICCAI (2019)
Keyphrases
- maximum entropy
- reinforcement learning
- fitted q iteration
- maximum entropy principle
- markov models
- random fields
- conditional random fields
- state space
- visual tracking
- mean shift
- maximum entropy model
- particle filter
- appearance model
- minimum cross entropy
- class conditional
- iterative scaling
- machine learning
- transformation based learning
- feature selection
- probabilistic logic
- learning algorithm
- learning problems
- named entities
- optimal policy
- pairwise
- information retrieval