Imagine that you have a reinforcement learning policy obtained using Q-learning, and your policy is optimal for the NIM game. You execute this policy with the -greedy exploration where . Would this execution lead to the selection of incorrect actions by the algorithm in some situations? That is, would the policy suggest "irrational" actions in some states?