Erli Lyu — accepted AI-conference papers

2024

Towards High Efficient Long-Horizon Planning With Expert-Guided Motion-Encoding Tree Search

Tong Zhou, Erli Lyu, Guangdu Cen, Ziqi Zha, Senmao Qi, Jiaole Wang +1

RA-L 2024

Autonomous driving holds promise for increased safety, optimized traffic management, and a new level of convenience in transportation. While model-based reinforcement learning approaches such as MuZero enables long-term planning, the exponentially increase of the number of search nodes as the tree g

Cited by 2 Source ↗Scholar ↗

2022

MO-Transformer: A Transformer-Based Multi-Object Point Cloud Reconstruction Network

Erli Lyu, Zhengyan Zhang, Wei Liu, Jiaole Wang, Shuang Song, Max Q.-H. Meng

IROS 2022poster

This paper proposes a new network for reconstructing multi-object point cloud. Different from previous networks which reconstruct multi-object point cloud as a whole, our network iteratively reconstructs each individual object point cloud from a frame of multi-object point cloud. To achieve this goa…

Cited by 2 Source ↗Scholar ↗