… The root cause for evolution of the financial crisis in 2008 into the global economic crisis is
the imbalance in the global economic and trade system.The deeper cause is that the global …

… algorithms, evolutionary computation, and machine learning, … Scalable influence maximization
for prevalent viral marketing … strategy with heterogeneous costs in complex networks [J]. …

… intelligence system with the capability to learn our games using any reinforcement learning
model. Ultimately, our aim is to develop a system capable of conducting game testing. …

… machine learning, this research aims to provide insights into the current landscape and future
directions of this rapidly evolving … such as deep learning and reinforcement learning [3]. …

… popularity of machine learning, more and more industries have introduced machine learning
to … However, the bottleneck that machine learning is bound to experience is the limitation of …

… We discussed the research progress and current challenges of machine learning in animal
genomic selection. A Case and some application suggestions were given to provide a certain …

… use of mathematical statistics approach, stochastic process theory and machine learning …
the evolution rule of analysis object, for the purpose of estimating the future trend of series. …

… Artificial neural network (ANN) is commonly used in AI with supervised, unsupervised, or
reinforcement learning method. However, the ANN can be trained by using Evolution Algorithm (…

… 调控等应用领域的驱 动, 影响最大化(influence maximization, IM) 问题的研究受到了广泛关注.
… 演化深度强化 学习算法 EDRL-IM (evolutionary deep reinforcement learning for IM)[37]. 该算法…

… Reinforcement learning (RL) trains an agent to react to an environment to maximize long-term
rewards. The agent interacts with the environment by setting action decisions based on …