Body: <p>I am newbie to Reinforcement Learning, this is my idea - Agent(food provider) has to select a food based on the environment(based on the user profile). Here the reward will be given to the agent based on the user's feedback. This is for single person, what if I wanted to make it for multiple persons. I wanted the system to learn on its own and create a policy such that it can identify certain group of people based on their profile and what type of food will be suitable for them.</p>
  <ul>
  <li>Is this possible to implement in Reinforcement learning?</li>
  <li>If so what type of problem is this and what type of solution I can use to solve this.</li>
  </ul>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-08-23T15:46:18.783Z
Comments.Text: I too need an approach like the above question, for my similar problem set
Comments.UserDisplayName: Prasanth Rajendran
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-08-28T13:26:31.117Z
Comments.Text: Please specify the shape and structure of your dataset more clearly.
Comments.UserDisplayName: user192361237
Tags: <reinforcement-learning><q-learning><policy-gradients><markov-decision-process><multi-armed-bandits>
Title: Customized food for persons based on their profile using Reinforcement learning
UserDisplayName: Bala u1
ThreadText: # Customized food for persons based on their profile using Reinforcement learning
  
  (Asked by: username_0 on 2020-08-13)
  
  I am newbie to Reinforcement Learning, this is my idea - Agent(food provider) has to select a food based on the environment(based on the user profile). Here the reward will be given to the agent based on the user's feedback. This is for single person, what if I wanted to make it for multiple persons. I wanted the system to learn on its own and create a policy such that it can identify certain group of people based on their profile and what type of food will be suitable for them.
  
  * Is this possible to implement in Reinforcement learning?
  * If so what type of problem is this and what type of solution I can use to solve this.
  
  **Tags:** reinforcement-learning, q-learning, policy-gradients, markov-decision-process, multi-armed-bandits
  > **Comments:**
  > **username_1**: I too need an approach like the above question, for my similar problem set  
  > **username_2**: Please specify the shape and structure of your dataset more clearly.  
  
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  ## 0 answers
  
  