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cs.LG2024
Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
Chang Huang, Shatong Zhu, Junqiao Zhao +6
Value function factorization is widely used in cooperative multi-agent reinforcement learning (MARL). Existing approaches often impose monotonicity constraints between the joint ac…
cs.RO2024
LOG-LIO2: A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis
Kai Huang, Junqiao Zhao, Jiaye Lin +4
Uncertainty in LiDAR measurements, stemming from factors such as range sensing, is crucial for LIO (LiDAR-Inertial Odometry) systems as it affects the accurate weighting in the los…
cs.RO2024
N-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-scale 3D Mapping
Shuangfu Song, Junqiao Zhao, Kai Huang +3
Accurate and dense mapping in large-scale environments is essential for various robot applications. Recently, implicit neural signed distance fields (SDFs) have shown promising adv…