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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