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Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
Natural behavior consists of dynamics that are complex and unpredictable, especially when trying to predict many steps into the future.
Learning Behavior Representations Through Multi-Timescale Bootstrapping
Natural behavior consists of dynamics that are both unpredictable, can switch suddenly, and unfold over many different timescales.
A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning
Therefore, learning a navigation policy for a new robot with a new sensor configuration or a new target still remains a challenging problem.
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