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As John Mosquera, winner of the AWS DeepRacer Vodafone Championship, how did you debug and troubleshoot the simulation during training in AWS DeepRacer?
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During the process of the Deepracer, there were lots of error and iterations that needed to be looked at. The simulator used logs and traces to determine and understand the root cause of what was going on, which greatly assisted in resolving issues. It's really amazing what goes on under the hood.I also focused on having a really good reward function and implementing various methods to improve it. I would implement different coding and processes to constantly evolve and change the underlying methods that I used to generate the best possible outcome.It can also be difficult, but its important to get the reward function correct in the first instance. Always be careful and take your time, as it can be a painstaking process. With software, you can have 10000s of lines of code that doesn't quite work because you are missing a single semi-colon.Take inspiration from different walks of life, like hedge fund and ETFs. Also ensure your code is high performing and clean and well documented. This process enables improvements in the code quality, the throughput and all of these factors and make it effective. To debug the simulations and troubleshooting during the AWS Deepracer, I implemented trace logs and iterative testing of code and different reward functions. These aspects meant that any issues were resolved quickly and effectively, with a well documented reward function, and an overall appreciation of the goal to make the process effective.