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My AWS Deep Racer Progress in May 2020

  • 10 Days of Learning + Setup
  • 20 Days of Trial and Error Training

Goal:

  • Finish top 100, or top 50% of all racers

Result:
Summit Time Trial - 32/341 - Top 9%
Summit Head 2 Head - 37/157 - Top 23%
Virtual Time Trial - 79/1291 - Top 6%
Virtual Object Avoidance - 39/134 - Top 29%
Virtual Head 2 Head - 50/202 - Top 25%

Success :)


Model Description:

  1. Barcelona Model
  • Attempt to use a complex functions and guide the car to follow a drawn line based off of Fernando Alonso's F1 drive through in 2018 (https://www.youtube.com/watch?v=e5uArfwC4Zk).
  • Too complex, convergence was too slow, car wasn't really learning
  • Performed decently, was my leading Barcelona model until All You Model (#5)
  1. Slow Complex Model
  • Similar Attempt as Model 1, without pathfinding
  • Surpassed by Pathfinder Model (#3)
  1. Pathfinder Model
  • Relying only on a given path and speed
  • Surpassed by Speed Model (#4)
  1. Speed Model
  • Rewarded completion and staying left of track, less distance to cover on the left, much simpler
  • Surpassed by All You Model (#5)
  1. All You Model
  • Simplest Model, Don't go off track, finish the lap, fast
  • Top finishes, could've been improved with more training time

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One Month of AWS Deep Racer Progress (May 2020)

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