SUN: Reaching for Novelty in Reinforcement Learning
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: SUN: Enhancing Goal Selection in Reinforcement Learning. SUN integrates novelty and reachability in goal selection, improving performance in complex environments. It outperforms existing methods in novel and challenging scenarios.
Generated from attributed reports · Updated 1 hours ago
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- arXiv Robotics — research abstractsSUN: Enhancing Goal Selection in Reinforcement Learning
SUN integrates novelty and reachability in goal selection, improving performance in complex environments. It outperforms existing methods in novel and challenging scenarios.
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