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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is Multi-Agent Reinforcement Learning?
π‘ Hint: Think about how teams of agents work together.
Question 2
Easy
Name one application of MARL.
π‘ Hint: Consider the fields of robotics or gaming.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does MARL stand for?
π‘ Hint: Remember the focus on multiple agents.
Question 2
True or False: In MARL, agents can only compete.
π‘ Hint: Consider scenarios where collaboration might be needed.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Design a multi-agent reinforcement learning scenario that focuses on cooperation. Describe the agents and how they would interact.
π‘ Hint: Think about how each agent can contribute to the common goal.
Question 2
Evaluate the potential societal impact of deploying MARL in autonomous decision-making systems like transportation or healthcare.
π‘ Hint: Consider both positive and negative effects of automation.
Challenge and get performance evaluation