Reinforcement Learning for Resilient Power Grids

no code implementations • 8 Dec 2022 • Zhenting Zhao, Po-Yen Chen, Yucheng Jin

As a result, the experiment demonstrated that in the power grid simulation environment, adopting this method will significantly increase the performance of RL agents.

Q-Learning reinforcement-learning +1

TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction

no code implementations • 30 Jun 2022 • Yuting Wang, Hangning Zhou, Zhigang Zhang, Chen Feng, Huadong Lin, Chaofei Gao, Yizhi Tang, Zhenting Zhao, Shiyu Zhang, Jie Guo, Xuefeng Wang, Ziyao Xu, Chi Zhang

This technical report presents an effective method for motion prediction in autonomous driving.

Motion Forecasting motion prediction +1