Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network

no code implementations • 23 Oct 2021 • Tianqi Shen, Hong Zhang, Ding Yuan, Jiaping Xiao, Yifan Yang

Vital importance has necessity to be attached to cooperation in multi-agent environments, as a result of which some reinforcement learning algorithms combined with graph neural networks have been proposed to understand the mutual interplay between agents.

Graph Attention reinforcement-learning +1

Diagnosing a Solar Flaring Core with Bidirectional Quasi-Periodic Fast Propagating Magnetoacoustic Waves

no code implementations • 29 Jan 2021 • Yuhu Miao, Dong Li, Ding Yuan, Chaowei Jiang, Abouazza Elmhamdi, Mingyu Zhao, Sergey Anfinogentov

Quasi-periodic fast propagating (QFP) waves are often excited by solar flares, and could be trapped in the coronal structure with low Alfv\'en speed, so they could be used as a diagnosing tool for both the flaring core and magnetic waveguide.

Solar and Stellar Astrophysics