Proposes TD3-STEPD, a deep reinforcement learning method that distills several region-specific geomagnetic navigation policies into one student policy that generalizes to unseen simulated areas.
Long-distance geomagnetic navigation: Imitations of animal migration based on a new assumption,
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Exploring the Generalizability of Geomagnetic Navigation: A Deep Reinforcement Learning approach with Policy Distillation
Proposes TD3-STEPD, a deep reinforcement learning method that distills several region-specific geomagnetic navigation policies into one student policy that generalizes to unseen simulated areas.