2026
Exploiting LiDAR Symmetries to Enhance Value Estimation Policies
RA-L 2026
Motion planning problems frequently exhibit geometric symmetry in both action and dynamics. This symmetric property can be exploited in learning-based solutions such as reinforcement learning during inference time, which allows the learned solution to improve without the need for additional training