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Marco Hutter

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#machine learning Preprint Oct 2026

Bidirectional Voronoi-biased Exploration Curriculum for Reinforcement Learning

Long-horizon tasks with sparse rewards pose an exploration bottleneck for goal-conditioned reinforcement learning: a policy started from the initial state rarely reaches the goal and receives no learning signal. Reference motions, hand-designed curricula, and shaped rewards supply this signal but require demonstrations...

J. Pfammatter, Kai-Xian Qu, Clemens Schwarke et al. · 0 citations

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