SMA-NBO: A Sequential Multi-Agent Planning with Nominal Belief-State Optimization in Target Tracking.
Tianqi LiLucas W. KrakowSwaminathan GopalswamyPublished in: CoRR (2022)
Keyphrases
- target tracking
- belief state
- multi agent planning
- partial observability
- state space
- data fusion
- belief space
- kalman filter
- particle filter
- mean shift
- partially observable
- belief revision
- agent programming
- multi sensor
- video camera
- partially observable markov decision processes
- moving target
- data association
- planning problems
- object tracking
- reinforcement learning