New answers tagged q-learning
3
votes
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 ...
- 30.3k
3
votes
Accepted
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 ...
- 30.3k
1
vote
Accepted
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 ...
- 30.3k
3
votes
Accepted
in simple words, what is the Q-learning algortimn steps?
This is taken from Sutton & Barto's RL book
...
- 239
2
votes
Accepted
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 ...
- 239
Top 50 recent answers are included