Question

Indicate which option describes the following action-selection method best.

Keep track of a count, K s,a
for each state-action tuple, (sa), of the number of times that tuple has been seen and select argmaxa [Q (s,a-Ks,a].
a) Mix of both
b) Mostly exploitation
c) Mostly exploration

Answer 1

The action-selection method described in the question is mostly exploitation, where the agent selects actions with the highest Q-values while considering the count of how many times the tuple has been seen. The correct answer is B.

Step-by-step explanation:

The action-selection method described in the question is mostly exploitation.

Exploitation occurs when the agent selects the action that has the highest value according to the Q-value function. In this case, the agent selects argmaxa[Q(s, a - Ks, a)], where Q(s, a) represents the Q-value of the state-action tuple, (s, a), and Ks, a is the count of how many times that tuple has been seen.

This method focuses on selecting actions that have proven to be successful in the past, based on their Q-values. However, it still takes into account the exploration component by subtracting the count, Ks, a, from the Q-value. This helps balance the exploration and exploitation trade-off.

The action-selection method described promotes exploration in reinforcement learning by penalizing actions that have been selected more frequently, thus it is mostly exploration.

The action-selection method described in the question is a strategy used in reinforcement learning, a type of machine learning. The method mentioned is for keeping track of the count, Ks,a for each state-action tuple, (s, a), which represents the number of times that specific tuple has been seen. The selection of an action is then done by choosing the argument that maximizes Q (s, a) minus Ks, a, denoted as argmaxa [Q (s, a) - Ks, a]. This strategy leans towards mostly exploration because it penalizes actions that have been taken frequently, hence encouraging the exploration of less frequently taken actions.