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Bottleneck-Adaptive Targeted Exploration / 瓶颈自适应目标探索
BATE
AtomicRL框架中的瓶颈自适应目标探索方法,根据原子子任务掌握程度动态分配采样权重与探索激励,实现数据驱动的自适应课程学习。
Source Articles
AtomicRL: Atomic Reinforcement Learning Solves Long-Horizon Robotic Manipulation Challenges
Oct 22