Reinforcement Learning based Guidance Policy Optimization for a Swarm of Cooperative Sensor Platforms Tracking a Single Target.
Samuel Layer-ReissAlexander ZwenigCarolyn KalenderDavid BraunPublished in: FUSION (2023)
Keyphrases
- cooperative
- reinforcement learning
- multiple targets
- target tracking
- optimal policy
- real time
- moving target
- multi agent
- optimization problems
- sensor fusion
- action selection
- visual tracking
- markov decision process
- particle swarm
- optimization algorithm
- particle filter
- learning algorithm
- robust tracking
- partially observable
- multi sensor
- particle filtering
- policy search
- sensor networks
- reinforcement learning algorithms
- policy gradient
- multi target
- multi agent reinforcement learning
- optimization method
- markov decision processes
- mean shift
- dynamic programming
- search space
- partially observable environments
- state and action spaces
- middleware architecture
- inertial sensors
- model free
- multiple objects
- kalman filter
- multi agent systems
- machine learning