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[D] Question about rewards in deep Q learning

Hello I want to create a deep Q learning agent for a 2 player board game. My rewards are 250 for winning the game, 100, 80 and 50 for “good” moves. My tutor said to me that I should normalize the rewards because there are only limited amounts of different rewards and there are possibly infinitely manyQ values. How should I normalize the rewards? Should I normalize the rewards to [0,1] range so that 0,8 represents a game winning move, 0,3 a good move for example?

submitted by /u/Kralex68
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.