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arXiv Robotics — research abstracts· Wenyan Yang, Arsenii Mustafin, Dominik Baumann, Joni Pajarinen, Simone Parisi·· 12 hours agoEditorial score42

SUN: Enhancing Goal Selection in Reinforcement Learning

SUN: Reaching for Novelty in Reinforcement Learning

Summary

SUN integrates novelty and reachability in goal selection, improving performance in complex environments. It outperforms existing methods in novel and challenging scenarios.

Source: arXiv Robotics — research abstracts · Read original article ↗

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Source:arXiv Robotics — research abstracts · arxiv.org

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