Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization
This paper presents a reinforcement learning approach for automatic adaptation of the process noise covariance (Q). The Q value plays a crucial role in estimating future state values within a Kalman filter tracking system. Proximal Policy Optimization (PPO), a state-of-the-art policy optimization al...
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| Other Authors: | , , |
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2023
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| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1425 |
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