OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous Vehicles

no code implementations • 9 Oct 2024 • Rui Du, Kai Zhao, Jinlong Hou, Qiang Zhang, Peter Zhang

Coordination among connected and autonomous vehicles (CAVs) is advancing due to developments in control and communication technologies.

Autonomous Vehicles Multi-agent Reinforcement Learning +2

The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade

1 code implementation • 7 Nov 2023 • Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, BingCheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada Mohanty, Weijun Hong, Rui Du, Yibing Zhang, Qinwen Wang, Xinhang Li, Zheng Yuan, Xiang Li, Yuejia Huang, Kun Zhang, Hanhui Yang, Shiqi Tang, Phillip Isola

In this paper, we present the results of the NeurIPS-2022 Neural MMO Challenge, which attracted 500 participants and received over 1, 600 submissions.

An Overview on IEEE 802.11bf: WLAN Sensing

no code implementations • 20 Oct 2023 • Rui Du, Haocheng Hua, Hailiang Xie, Xianxin Song, Zhonghao Lyu, Mengshi Hu, Narengerile, Yan Xin, Stephen McCann, Michael Montemurro, Tony Xiao Han, Jie Xu

To resolve this issue, a new Task Group (TG), namely IEEE 802. 11bf, has been established by the IEEE 802. 11 working group, with the objective of creating a new amendment to the WLAN standard to meet advanced sensing requirements while minimizing the effect on communications.

Quantization

Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO

no code implementations • 30 Aug 2023 • Yangkun Chen, Joseph Suarez, Junjie Zhang, Chenghui Yu, Bo Wu, HanMo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola

We present the results of the second Neural MMO challenge, hosted at IJCAI 2022, which received 1600+ submissions.

Benchmarking Reinforcement Learning (RL)

Fundamental Limits and Optimization of Multiband Sensing

no code implementations • 21 Jul 2022 • Yubo Wan, An Liu, Rui Du, Tony Xiao Han

Then, a metric called the statistical resolution limit (SRL) that provides a resolution limit is employed to investigate the fundamental limits of delay resolution.

Networked Sensing in 6G Cellular Networks: Opportunities and Challenges

no code implementations • 1 Jun 2022 • Liang Liu, Shuowen Zhang, Rui Du, Tong Xiao Han, Shuguang Cui

This article will discuss about the possibility of exploiting the future sixth-generation (6G) cellular network to realize ISAC.

Mapping evolving population geography in China

1 code implementation • 4 Mar 2022 • Lei Dong, Rui Du, Yu Liu

China's demographic changes have important global economic and geopolitical implications.

A Gauss-Seidel projection method with the minimal number of updates for stray field in micromagnetic simulations

no code implementations • 21 Jan 2021 • Panchi Li, Zetao Ma, Rui Du, Jingrun Chen

However, GSPM-BDF2 updates the stray field only once per time step, leading to an efficiency improvement of about $60\%$ than the state-of-the-art GSPM for micromagnetic simulations.

Numerical Analysis Numerical Analysis

Enforcing exact boundary and initial conditions in the deep mixed residual method

1 code implementation • 4 Aug 2020 • Liyao Lyu, Keke Wu, Rui Du, Jingrun Chen

In theory, boundary and initial conditions are important for the wellposedness of partial differential equations (PDEs).

Numerical Analysis Numerical Analysis

Quasi-Monte Carlo sampling for machine-learning partial differential equations

no code implementations • 5 Nov 2019 • Jingrun Chen, Rui Du, Panchi Li, Liyao Lyu

Often, a deep neural network outperforms classical numerical methods in terms of both accuracy and efficiency.

BIG-bench Machine Learning Numerical Integration