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  license: mit
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  size_categories:
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  - 10M<n<100M
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
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  size_categories:
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  - 10M<n<100M
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+ ---
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+ #And the Devil said, "Let there be Air"
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+ #TheEnd #Open-Source and free to use dataset. Only ask is to cite if
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+ you are using code or dataset for research, publication etc.
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+ This contains 30,000,000 training time-steps using Ubuntu Linux,
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+ Tensorflow 2.xx and PPO algorithm to train a single agent car racing
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+ utilizing CarRacing-v3 Gymnasium environment
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+ which is a maintained fork of OpenAI’s Gym library.
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+ Trained 30000000 but rolled-back to 29352960 timestep checkpoint as the
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+ agent performance is stable till about 29000000 with perfect runs
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+ between 900-999 after 19 trials and 1 800-899 for a total of 20 trials.
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+ With 30million timesteps it either turns left or right and then stops. The reason for
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+ the drastic change is due to Policy Collapse, Catastrophic Forgetting.
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+ This agent learns to uses the FIFO (Fast In Fast Out) cornering strategy in racing which is a high risk, high reward style