DeepMind Lab Training Course

Course Code

deepmindlab

Duration

14 hours (usually 2 days including breaks)

Requirements

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

Audience

  • Researchers
  • Developers

Overview

DeepMind Lab is an agent-based artificial intelligence (AI) research platform that uses a 3D game-like simulation environment to train learning agents, run reinforcement learning algorithms, and develop machine learning (ML) systems.

This instructor-led, live training (online or onsite) is aimed at researchers and developers who wish to install, set up, customize, and use the DeepMind Lab platform to develop general artificial intelligence and machine learning systems.

By the end of this training, participants will be able to:

  • Customize DeepMind Lab to build and run an environment that suits learning and training needs.
  • Use DeepMind Lab's 3D simulation environment to train learning agents in a first-person viewpoint.
  • Facilitate agent evaluation to develop intelligence in a 3D game-like world.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

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

Testimonials

★★★★★
★★★★★

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