Q learning algorithm in image processing using matlab.
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I would like to process the images by removing noise from the blur and color correction using Q-learning simpler and more efficient because artificial intelligence and especially deep learning consists of more advanced methods on image processing. I know about neural networks but i don't know much about this algorithm. so, i am totally confused from where to start and how can i do this. Can anyone please share some link because i searched a lot from past two days and i saw most of the videos of q-learning algo is about either games or robot. I can't find any help on image processing side. Please help me, i have also the option of doing this on python.
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Emmanouil Tzorakoleftherakis
2021-5-19
0 个投票
Hello,
Finding an example that exactly matches what you need to do may be challenging. If you are looking for the "deep learning" version of Q-learning, it's called DQN. See some details here and some examples below.
If you keep finding examples of Q-learning for the application you are thinking maybe there is a reason for that. Without being an expert, Q-learning works with tabular policies, so it may fit nicely with a scenario where you want to manipulate pixels in an image (which is a table after all)
4 个评论
NABIHA ANAYA
2021-5-20
Emmanouil Tzorakoleftherakis
2021-5-20
If you were to use DQN (not Q learning), you could use Deep Network Designer to design the critic network if you wanted to. Q learning works with tables so Deep Network Designer is not relevant
NABIHA ANAYA
2021-5-20
Emmanouil Tzorakoleftherakis
2021-5-20
There is no specific app for Q learning. I would follow the example here to see how to set up the problem
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sireesha
2025-12-24
0 个投票
https://in.mathworks.com/help/reinforcement-learning/ug/train-q-learning-agent-to-solve-basic-grid-world.html
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