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nbro
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I am trying to learn reinforcement learning and I am focusing on the value iteration. I am looking at the example of grid world, and I am rtyingtrying to implement it in python. While doing this, I encountered the situation in which I had to set the rewards for the agent, but looking at the theory, I have found that each state has also a value, which is found using the value iteration.

So, my doubt is: What is the difference between a reward and a value for a given state? And should the initial values of the states always be set equal to zero?

I am trying to learn reinforcement learning and I am focusing on the value iteration. I am looking at the example of grid world, and I am rtying to implement it in python. While doing this, I encountered the situation in which I had to set the rewards for the agent, but looking at the theory, I have found that each state has also a value, which is found using the value iteration.

So, my doubt is: What is the difference between a reward and a value for a given state? And should the initial values of the states always be set equal to zero?

I am trying to learn reinforcement learning and I am focusing on the value iteration. I am looking at the example of grid world, and I am trying to implement it in python. While doing this, I encountered the situation in which I had to set the rewards for the agent, but looking at the theory, I have found that each state has also a value, which is found using the value iteration.

So, my doubt is: What is the difference between a reward and a value for a given state? And should the initial values of the states always be set equal to zero?

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dcr
dcr
  • 57
  • 5

What is the difference between a reward and a value for a given state?

I am trying to learn reinforcement learning and I am focusing on the value iteration. I am looking at the example of grid world, and I am rtying to implement it in python. While doing this, I encountered the situation in which I had to set the rewards for the agent, but looking at the theory, I have found that each state has also a value, which is found using the value iteration.

So, my doubt is: What is the difference between a reward and a value for a given state? And should the initial values of the states always be set equal to zero?