Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors.
Rico JonschkowskiDivyam RastogiOliver BrockPublished in: Robotics: Science and Systems (2018)
Keyphrases
- end to end
- particle filter
- learning algorithm
- admission control
- machine learning
- objective function
- congestion control
- visual tracking
- kalman filter
- object tracking
- mean shift
- state space
- dynamic programming
- prior knowledge
- particle filtering
- importance sampling
- state estimation
- search algorithm
- reinforcement learning