Adrian B. Faust

Exploiting LiDAR Symmetries to Enhance Value Estimation Policies

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