Medium RL Quiz: Probe Your Agent Training Know-How

Gauge intermediate understanding of RL through targeted multiple-choice queries on core mechanisms and algorithms.

#reinforcement learning#actor-critic#temporal difference#Q-learning#reward maximization#Markov process#policy gradient

Total Questions

7

Difficulty Level

medium

Progress

0/0

0%

Quiz Questions

Answer all questions below and test your knowledge.

1
In a Markov Decision Process (MDP), which element specifies the probability of moving from one state to another given an action?
Question 1
2
Q-learning is classified as which type of learning method?
Question 2
3
What does the discount factor gamma determine in reinforcement learning?
Question 3
4
Which strategy decays over time to shift from exploration to exploitation?
Question 4
5
Policy gradient algorithms primarily aim to maximize what?
Question 5
6
In actor-critic methods, the critic component estimates what?
Question 6
7
Experience replay in DQN helps by doing what?
Question 7