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deep_racer_guru's Introduction

deep_racer_guru

Announcement

4th July 2021: Version 3.2.0 is available with new features including:

  • All the latest competition tracks
  • Support for continuous action space
  • Episode filtering options for object avoidance (refer to Special Topics for important setup information)
  • Click-thru' from a scatter graph blob to see the episode route details (refer to Special Mouse and Keyboard Actions)
  • Improved documentation including an extended Gallery to showcase what's possible

Introduction

Deep Racer Guru (DRG) is an interactive detailed analysis tool for AWS Deep Racer logs.

Its main purpose is to provide "out-of-the-box" analysis that can run locally on your own computer.

You don't have to write Python code. Simply download logs from the AWS Deep Racer console, and then use a GUI to see how your models are performing.

Analyze DeepRacer logs easily with DRG

Want to See More?

Look at the new Gallery

Want to Start Using It?

Read the Installation Instructions and Getting Started Guide

Want to Write Reward Functions More Easily?

See its sibling product Deep Racer Framework (DRF)

Additional Documentation

Old Announcements

  • 20th May 2021: Version 3.1.0 has now arrived, adding the new "track fitting" feature and fixing various bugs including the fatal defect in version 3.0.1
  • 20th May 2021: Version 3.0.1 has been withdrawn due to a fatal defect
  • 24th April 2021: Version 3.0.0 has now arrived, with many new features and fixes

deep_racer_guru's People

Contributors

dmh23 avatar

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