I am trying to understand the epsilon - greedy method in DQN. I am learning from the code available in https://github.com/karpathy/convnetjs/blob/master/build/deepqlearn.js
Following is the update rule for epsilon which changes with age as below:
$this.epsilon = Math.min(1.0, Math.max(this.epsilon_min, 1.0-(this.age - this.learning_steps_burnin)/(this.learning_steps_total - this.learning_steps_burnin)));
Does this mean the epsilon value starts with min (chosen by user) and then increase with age reaching upto burnin steps and eventually becoming to 1? Or Does the epsilon start around 1 and then decays to epsilon_min ?
Either way, then the learning almost stops after this process. So, do we need to choose the learning_steps_burnin and learning_steps_total carefully enough? Any thoughts on what value needs to be chosen?