Humanoid AI in Unity ML-Agents
#unity #unityai #mlagents #humanoidai
This video shows an example where Unity ML-Agents “teaches” a humanoid AI to navigate through an environment, avoiding obstacles, exploring the area, and finally catching a runaway dog. Most tutorials for ML-Agents demonstrate fairly simple examples, with simple AI agents having well-defined goals in simple environments. Applying ML-Agents to a humanoid AI in a slightly more elaborate environment is more complex and requires more advanced approaches. This video shows an example as just a starting point. If there is interest from the community, future videos could provide tutorials on how different aspects can be implemented, including setting up the humanoid motion for AI control, developing custom perceptions, fine-tuning behaviors, swapping between different AI models, and more.
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Chapters:
0:00 Introduction
0:16 References on ML-Agents
0:40 Unity's examples for ML-Agents
1:41 Humanoid ML-Agents
2:21 Example humanoid and dog AIs
4:02 First goals: Move fast and avoid obstacles
4:18 Next goal: Explore more area
5:08 Next goal: Catch the runaway dog
6:24 Future directions
6:46 Wrap-up: A humanoid ML-Agents community?
References:
Recent video on ML-Agents: • Toward Intermediate-Level Unity ML Agents
ML-Agents concepts video (part 1): • Understanding Unity ML Agents part 1: Conc...
ML-Agents concepts video (part 2): • Understanding Unity ML-Agents part 2: Agents
ML-Agents strategies for humanoid AI: • Three Brain-Level Approaches to Humanoid A...
Earlier video previewing the example shown here: • Humanoid AI using ML-Agents in Unity - Pre...