Information-Theoretic State Space Model for Multi-View Reinforcement Learning.
HyeongJoo HwangSeokin SeoYoungsoo JangSungyoon KimGeon-Hyeong KimSeunghoon HongKee-Eung KimPublished in: ICML (2023)
Keyphrases
- information theoretic
- multi view
- state space model
- reinforcement learning
- information theory
- mutual information
- multiple views
- d objects
- kalman filter
- depth map
- three dimensional
- autoregressive
- bundle adjustment
- state space
- semi supervised
- face tracking
- dynamic programming
- image processing
- machine learning
- learning algorithm
- range images
- learning problems
- image analysis
- similarity measure