IEEE

Deterministic Computing Power Network Routing Algorithm Based on Hierarchical Reinforcement Learning

Abstract: As edge computing, AI data centers, and supercomputing systems continue to expand, the challenge of deterministic computing power routing has become increasingly prominent. In response, this ...
Frontiers

Community assembly following disturbance in batch anaerobic digesters displays highly reproducible secondary succession and a shifting stochastic-deterministic balance

The great diversity of anaerobic digestion (AD) microbiomes indicates high redundancy and flexibility in the assembly of the community. Moreover, AD microbiomes are frequently subjected to ...
IEEE

Spatial Clustering Guided Two-View Multi-Structural Deterministic Geometric Model Fitting

Abstract: This paper addresses the two-view geometric model fitting problem on the multi-structural data with severe outliers for providing reliable and consistent fitting results. The key idea is to ...
Frontiers

Soil C/N ratio governs bacterial community assembly along an arid mountain elevational gradient

The mechanisms governing soil bacterial community assembly along elevational gradients in cold-arid mountains remain poorly understood, despite their critical role in these fragile ecosystems. This ...
GitHub

Reinforcement learning in portfolio management

Motivated by "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" by Jiang et. al. 2017 [1]. In this project: Implement three state-of-art continous deep ...