
MARL Quizz
Authored by Aymen Khouja
Computers
University
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20 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is Mutli-agent Reinforcement Learning (MARL)?
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What distinguishes "state" from "observation" in reinforcement learning?
State is environment's true variables; observation is agent's perceptions.
States are internal; observations are imperfect perceptions.
States and observations are interchangeable in RL.
States are the agent's knowledge; observations are external.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance of the "reward" in MARL?
Reward is used to punish the agent for incorrect actions.
Reward is the feedback signal used to shape the learning process.
Reward is the measure of the agent's knowledge about the environment.
Reward is the indicator of the agent's confidence in its decisions.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
An episode is a sequence of decisions that end when the agent decides he learned enough
True
False
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a key challenge in MARL?
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the training scheme "Centralized Training Decentralized Execution (CTDE)" aim to achieve?
To centralize both training and execution processes.
To limit agent performance by restricting training methods.
To enhance communication between agents during execution.
To improve agent performance through centralized training while enabling decentralized execution.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following algorithms is commonly used in MARL?
A2C
MAPPO
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