Multi-Agent Deep Reinforcement Learning for Spectral Efficiency Optimization in Vehicular Optical Camera Communications.
Amirul IslamNikolaos ThomosLeila MusavianPublished in: IEEE Trans. Mob. Comput. (2024)
Keyphrases
- reinforcement learning
- multi agent
- image capture
- optimization problems
- optical properties
- function approximation
- hand held
- reinforcement learning agents
- communication systems
- learning agents
- cooperative
- optimization algorithm
- structure from motion
- real time
- single agent
- camera calibration
- state space
- autocalibration
- imaging sensors
- reinforcement learning algorithms
- machine learning
- focal length
- multi camera
- field of view
- markov decision processes
- multi agent systems
- temporal difference
- multiple cameras
- optimal control
- focal plane
- camera motion
- depth from defocus
- multi agent environments
- vision system