Course Outline

Introduction

Overview of DeepMind Lab Features and Architecture

Understanding Navigation, Memory, and Exploration in DeepMind Lab

Building and Running DeepMind Lab

Customizing DeepMind Lab

Using the Programmatic Level-Creation Interface

Exploring Python Dependencies

Getting Started on Linux

Using the 3D Simulation Environment

Learning About Observations and Actions

Using Human Input Controls

Implementing and Training a Learning Agent

Working with Upstream Sources

Working with External Dependencies, Prerequisites, and Porting Notes

Exploring DeepMind Lab Real-World Impact and Breakthroughs

Troubleshooting

Summary and Conclusion

Requirements

  • Experience with Python or other programming languages
  • Knowledge of artificial intelligence and machine learning concepts

Audience

  • Researchers
  • Developers
  14 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 9:30 am and 4:30 pm.
Open Training Courses require 5+ participants.

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