Search Results for author:
Found 3 papers, 0 papers with code
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
We then incorporate the estimated spatial gradients as additional inputs to a neural network.
CIM-PPO:Proximal Policy Optimization with Liu-Correntropy Induced Metric
As an algorithm based on deep reinforcement learning, Proximal Policy Optimization (PPO) performs well in many complex tasks and has become one of the most popular RL algorithms in recent years.
Identifying the module structure of swarms using a new framework of network-based time series clustering
In summary, the proposed framework is a flexible and scalable time series clustering method that can solve various time series clustering problems especially the trajectory clustering of the UAV swarm and has great potential for general time series analysis.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
