Although multi-agent reinforcement learning (MARL) is a promising method for argan oil pure purple learning a collaborative action policy, enabling each agent to accomplish specified tasks, MARL has a problem of exponentially increasing state-action space.This state-action space can be dramatically reduced by assuming sparse interaction.We previous
We studied the effects of global warming and rising temperatures on the ground beetle fauna of Bavarian beech forests using the space for time approach simply southern cat shirt at two geographical scales.The first was a Bavarian-wide gradient of 50 plots in beech forests and the second a regional gradient in the Bavarian Forest in the mountains in
Degradation stage prediction, which is crucial to monitoring the health condition of rolling bearings, here can improve safety and reduce maintenance costs.In this paper, a novel degradation stage prediction method based on hierarchical grey entropy (HGE) and a grey bootstrap Markov chain (GBMC) is presented.Firstly, HGE is proposed as a new entrop
The multiscale quantum harmonic oscillator algorithm (MQHOA) is inspired by the physical meaning of quantum wavefunction.Particles have no efficient interaction and share a wavefunction during the evolution process.In this paper, a multi-harmonic oscillator strategy is introduced, which employs multiple wavefunctions to generate new particles.The e