A DQN-based observer control policy for bearings-only tracking matches information-theoretic baselines on average accuracy while reducing worst-case errors by nearly ten times through a reward that enforces filter consistency.
Bernoulli particle filter with observer control for bearings only tracking in clutter
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Reinforcement Learning Trained Observer Control for Bearings-Only Tracking
A DQN-based observer control policy for bearings-only tracking matches information-theoretic baselines on average accuracy while reducing worst-case errors by nearly ten times through a reward that enforces filter consistency.