which an algorithm (named the Two-step random forest reinforcement learning algorithm) is proposed. Findings The authors …

-tongue algorithm with genetic algorithm (GA) and reinforcement learning (RL) to reduce the path length and the number of path nodes in … distribution situations with shorter path searching results. Reinforcement learning is used to reduce the number of path nodes …, which is good for improving the efficiency of robot work. The use of genetic algorithm and reinforcement learning lays the …

Satisfaction is a function of the actual relevance. This paper extends the authors' previous work by building a reinforcement … learning (RL) model to predict the relevance. The Attractiveness, Examination and User Satisfaction are estimated using a …

The advent of reinforcement learning (RL) in financial markets is driven by several advantages inherent to this field …