Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making

2 code implementations • 18 Nov 2023 • Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Ming Yang

For access to the source code and participation in discussions, visit the official GitHub page for Tactcis2D at https://github. com/WoodOxen/Tactics2D.

Autonomous Driving Decision Making +3

Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving

no code implementations • 18 Nov 2023 • Yueyuan Li, Wei Yuan, Songan Zhang, Weihao Yan, Qiyuan Shen, Chunxiang Wang, Ming Yang

Simulators play a crucial role in autonomous driving, offering significant time, cost, and labor savings.

Autonomous Driving

Unifying Discourse Resources with Dependency Framework

1 code implementation • CCL 2021 • Yi Cheng, Sujian Li, Yueyuan Li

For text-level discourse analysis, there are various discourse schemes but relatively few labeled data, because discourse research is still immature and it is labor-intensive to annotate the inner logic of a text.

Learning Where to Look While Tracking Instruments in Robot-assisted Surgery

1 code implementation • 29 Jun 2019 • Mobarakol Islam, Yueyuan Li, Hongliang Ren

For this purpose, we propose an end-to-end trainable multitask learning (MTL) model for real-time surgical instrument segmentation and attention prediction.

Segmentation