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cs.RO2026
Enhancing Deep Reinforcement Learning for Robotic Motion Planning via Task Decomposition
Yuanzhi He, Victor Romero-Cano, Jiayu Xu +2
Obstacle-aware robotic manipulation can require substantial interaction data when deep reinforcement learning policies are trained from scratch. We study a task decomposition frame…
cs.RO2026
Sample-efficient Low-level Motion Planning for Robotic Manipulation Tasks via Zero-shot Transfer Learning
Yuanzhi He, Victor Romero-Cano, José J. Patiño +3
As robotic systems become more sophisticated, the growing complexity of their motion planning models and the longer training times pose substantial challenges. Evolutionary algorit…