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What are the similarities between Q-learning and Value Iteration?

Q learning is very similar to value iteration. They are based on the same principles. A key similarity is that both assume a greedy action choice on the bootstrap next state value. The big difference ...
Neil Slater's user avatar
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Is Q-learning limited to just visual scenarios, or is it much broader and can it be used to solve non-visual problems as well?

Reinforcement learning (RL) is a very broad description that applies to many variations of goal-driven learning problems. The key factor is being able to map the problem into a Markov Decision Process ...
Neil Slater's user avatar
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1 vote
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In Q-learning, Am I the one who will define the way in which actions allow the agent to interact with the environment? And the interactions will vary?

The action space for a reinforcement learning (RL) task is mostly determined by the problem you are applying RL to. As such, you get to define it in the following ways: By choosing what problem to ...
Neil Slater's user avatar
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in simple words, what is the Q-learning algortimn steps?

This is taken from Sutton & Barto's RL book ...
A_Arnold's user avatar
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2 votes
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Could someone give a very simple example of Q-learning in a very small environment?

one great library is called openAI gym which has a bunch of toy problems. One of these is CliffWalking based on Sutton and is a 3x12. This article steps through it pretty nicely and I am sure you can ...
A_Arnold's user avatar
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