Xiaomin Wang

2 accepted papers

2025

A robust MLTD3 path planning algorithm in unknown environments

Tianqing Wen, Xiaomin Wang, Rui Yang, Zhendong Sun

IROS 2025

We explore the problem of path planning for mobile robots in unknown environments using deep reinforcement learning (DRL). This paper proposes a multi-layer long short-term memory twin delayed deep deterministic policy gradient (MLTD3) algorithm for unknown environments. First, we introduce multi-la

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2022

Cost Ensemble with Gradient Selecting for GANs

Minghui Liu, Jiali Deng, Meiyi Yang, Xuan Cheng, Nianbo Liu, Ming Liu +1

IJCAI 2022poster

Generative Adversarial Networks(GANs) are powerful generative models on numerous tasks and datasets but are also known for their training instability and mode collapse. The latter is because the optimal transportation map is discontinuous, but DNNs can only approximate continuous ones. One way to so…

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