How to perform Interpretability analysis toward a simple reinforcement learning network

We are currently using a RL network with the following simple structure to train a model which helps to solve a transformation task: Environment (a binary file) + reward —> LSTM (embedding) –> FC layer –> FC layer –> FC layer –> decision (to select and apply a kind of transformation toward the environment from…

how can i input tasks in Genetic algorithm with three different orders?

for example my initial input tasks set {1,2,3,4,5} then i want to create three different orders like Gene1=1,3,5,42 gene2=1,5,4,2,3 and gene3=5,2,3,4,1 these are three different orders of tasks i want to sort out all tasks randomly to produce three different orders the different orders of tasks correspond to different genetic code is there any example…