Unity-Technologies/obstacle-tower-env
Obstacle Tower Environment
The Obstacle Tower Environment helps researchers and developers train and test AI agents in a complex, 3D gaming environment. It takes in an agent's actions and outputs visual observations and game state, allowing for the development of agents capable of vision, locomotion, and strategic planning. This is designed for AI researchers and machine learning engineers working on generalization in reinforcement learning.
545 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are developing AI agents and need a challenging, procedurally generated environment to test their ability to generalize across different visual layouts, puzzles, and difficulties.
Not ideal if you are looking for a simple, single-task environment or if your primary focus is not on generalization in reinforcement learning.
Stars
545
Forks
123
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 29, 2020
Commits (30d)
0
Dependencies
2
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