Sumrak-s/Cross-the-road-Unity-ML-Agents
AI learns to cross the road with Unity ML-Agents (imitation learning or reinforcement learning)
This project helps demonstrate how artificial intelligence can learn to navigate a simulated environment. It takes a virtual agent within a Unity3D road crossing scenario and trains it to safely reach the other side. This is valuable for AI developers, researchers, or students exploring reinforcement learning and imitation learning techniques in game-like simulations.
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Use this if you are a Unity game developer or AI researcher looking for a practical example of training agents with Unity ML-Agents to perform navigation tasks.
Not ideal if you need a pre-trained agent for a real-world application or are not working within the Unity3D game engine environment.
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Language
C#
License
Apache-2.0
Category
Last pushed
Mar 07, 2021
Commits (30d)
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