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## Content
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Codes (it'll send you to appropriate file):
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- * [ Opening_png_jpg] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python /tree/master/Opening_png_jpg.py )
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- * [ Converting_RGB_to_GreyScale] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python /tree/master/Converting_RGB_to_GreyScale.py )
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+ * [ Opening_png_jpg] ( https://github.com/sichkar-valentyn/Image_processing_in_Python /tree/master/Opening_png_jpg.py )
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+ * [ Converting_RGB_to_GreyScale] ( https://github.com/sichkar-valentyn/Image_processing_in_Python /tree/master/Converting_RGB_to_GreyScale.py )
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<br />
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Experimental results (figures and tables on this page):
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* <a href =" #RGB channels of the image separately " >RGB channels of the image separately</a >
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### <a name =" RGB channels of the image separately " >RGB channels of the image separately</a >
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- Environment-1 with mobile robot, goal and obstacles
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![ RGB_channels] ( images/RGB_channels.png )
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