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A reward function you can defend line by line
You leave with reward_function.py in your own words, every term carrying the reason you put it there — plus the test-day log and the written verdict that back it up. It is a dossier, not a score.
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4.6 from 5 ratings
Fundamentals of Reinforcement Learning: Racing Challenge
ProoV · Junior Race Engineer · Autonomous Vehicle Behaviour · Intermediate
About this project
Apex Rennsport hands you a car that already drives — badly. It crawls the centre line, because crawling the centre line is exactly what its reward function pays it to do. You will write your own reward in Python, train it in your browser, read the line it produces, catch it when it games you, and race it on a circuit you have never seen. You leave with a race engineer's dossier: your function, evidence you measured yourself, and your argument for why it generalised.
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inFundamentals of Reinforcement Learning: Racing Challenge
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A graded ProoV project, completed step by step and marked against a published rubric.
❖Python, Reward design and more skills