Answers.Body: <p>I think there is an intersection. There are problems that are in reinforcement learning and in learning in multi-agent systems. There are problems in reinforcement learning, but not exactly in multi-agent systems. And there is learning in multi-agent systems that is not through reinforcement learning. For sort you can say: multi-agent reinforcement learning. I recommend take a look at these references:</p>
  <blockquote>
  <p>Bu, Lucian, Robert Babu, and Bart De Schutter. &quot;A comprehensive survey of multiagent reinforcement learning.&quot; IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 38.2 (2008): 156-172.</p>
  <p>Busoniu, Lucian, Robert Babuska, and Bart De Schutter. &quot;Multi-agent reinforcement learning: A survey.&quot; 2006 9th International Conference on Control, Automation, Robotics and Vision. IEEE, 2006.</p>
  </blockquote>
  
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Answers.Text: If you are a little bit familiar with RL, it's clear that there are RL algorithms that are not _directly_ (or immediately) applicable to multi-agent systems, so there is no need to explain further that case. However, I think this answer would improve considerably if you can provide an example of a MAS that doesn't use RL and an example that uses RL. It would also be interesting to talk about hierarchical reinforcement learning (i.e. is HRL a multi-agent system?).
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Answers.Text: Thank you very much for your answer. The comment from @nbro is also very helpful and I agree.
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Body: <p>What is the relation between multi-agent learning and reinforcement learning?</p>
  
  <p>Is one a sub-field of the other? For instance, would it make sense to state that your research interest are multi-agent learning and reinforcement learning, or would that be weird as one includes most of the topics of the other?</p>
  
Tags: <reinforcement-learning><comparison><multi-agent-systems>
Title: What is the relation between multi-agent learning and reinforcement learning?
UserDisplayName: MMM
ThreadText: # What is the relation between multi-agent learning and reinforcement learning?
  
  (Asked by: username_0 on 2020-05-23)
  
  What is the relation between multi-agent learning and reinforcement learning?
  
  Is one a sub-field of the other? For instance, would it make sense to state that your research interest are multi-agent learning and reinforcement learning, or would that be weird as one includes most of the topics of the other?
  
  **Tags:** reinforcement-learning, comparison, multi-agent-systems
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2020-05-23. Score: 2
  
  I think there is an intersection. There are problems that are in reinforcement learning and in learning in multi-agent systems. There are problems in reinforcement learning, but not exactly in multi-agent systems. And there is learning in multi-agent systems that is not through reinforcement learning. For sort you can say: multi-agent reinforcement learning. I recommend take a look at these references:
  
  > Bu, Lucian, Robert Babu, and Bart De Schutter. "A comprehensive survey of multiagent reinforcement learning." IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 38.2 (2008): 156-172.
  >
  > Busoniu, Lucian, Robert Babuska, and Bart De Schutter. "Multi-agent reinforcement learning: A survey." 2006 9th International Conference on Control, Automation, Robotics and Vision. IEEE, 2006.
  
  > **Comments:**
  > **username_2**: If you are a little bit familiar with RL, it's clear that there are RL algorithms that are not _directly_ (or immediately) applicable to multi-agent systems, so there is no need to explain further that case. However, I think this answer would improve considerably if you can provide an example of a MAS that doesn't use RL and an example that uses RL. It would also be interesting to talk about hierarchical reinforcement learning (i.e. is HRL a multi-agent system?).  
  > **username_0**: Thank you very much for your answer. The comment from @username_2 is also very helpful and I agree.  
  
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