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Found 2 papers, 2 papers with code
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization
The regularization maximizes the mutual information between navigation actions and visual observation transforms of an agent, thus promoting more informed navigation decisions.
Robotics
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
First, the latent distribution is conditioned on current observations and the target view, leading to a model-based, target-driven navigation.
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