Macro-Action Topological Navigation under Noisy Localization using Reinforcement Learning
产业动态
来源：arXiv cs.RO发布时间待核实
arXiv:2608.23055v1 Announce Type: cross Abstract: Navigating large, photorealistic 3D apartments from raw pixels is widely considered infeasible for plain reinforcement learning. We build an agent that does it anyway, estimating its own pose from the camera alone. The agent has to reach several target objects in sequence, and their positions change between episodes, so it must explore to find them.