Junkai Ren

Efficient Hierarchical Reinforcement Learning with Dynamic Kolmogorov–Arnold Network for Long-Horizon Robotic Manipulation

Long-horizon robotic manipulation remains a critical challenge in robotics. Hierarchical reinforcement learning offers a promising solution, but often suffers from an imbalance dilemma: simplifying skill learning increases the complexity of planning, thereby expanding the solution space and computat…