MGCRL: Multi-view graph convolution and multi-agent reinforcement learning for dialogue state tracking.
Zhenhua HuangFancong LiJuanjuan YaoZonggan ChenPublished in: Neural Comput. Appl. (2024)
Keyphrases
- multi view
- multi agent reinforcement learning
- single view
- multiple views
- face tracking
- depth map
- d objects
- three dimensional
- multiple cameras
- multi view clustering
- semi supervised
- state space
- viewpoint
- multi agent
- multi view learning
- multi view face detection
- real time
- mean shift
- graph matching
- depth information
- reinforcement learning
- stochastic games
- similarity measure