Artificial Intelligence for Complex Network: Potential, Methodology and Application

no code implementations • 23 Feb 2024 • Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li

Complex networks pervade various real-world systems, from the natural environment to human societies.

Social Physics Informed Diffusion Model for Crowd Simulation

1 code implementation • 8 Feb 2024 • Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang

In this paper, we propose a social physics-informed diffusion model named SPDiff to mitigate the above gap.

Denoising Physics-informed machine learning

Planning with Sequence Models through Iterative Energy Minimization

no code implementations • 28 Mar 2023 • Hongyi Chen, Yilun Du, Yiye Chen, Joshua Tenenbaum, Patricio A. Vela

In this paper, we suggest an approach towards integrating planning with sequence models based on the idea of iterative energy minimization, and illustrate how such a procedure leads to improved RL performance across different tasks.

Language Modelling Reinforcement Learning (RL)

Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments

1 code implementation • 24 Mar 2023 • Hongyi Chen, Changliu Liu

This study proposes a safe and sample-efficient reinforcement learning (RL) framework to address two major challenges in developing applicable RL algorithms: satisfying safety constraints and efficiently learning with limited samples.

reinforcement-learning Reinforcement Learning (RL) +1

KGNv2: Separating Scale and Pose Prediction for Keypoint-based 6-DoF Grasp Synthesis on RGB-D input

1 code implementation • 9 Mar 2023 • Yiye Chen, Ruinian Xu, Yunzhi Lin, Hongyi Chen, Patricio A. Vela

We propose a new 6-DoF grasp pose synthesis approach from 2D/2. 5D input based on keypoints.

Grasp Generation Keypoint Detection +2