Multi-Agent AI · 2018
Applying Complexity Science with ML, Agent-Based Models, and Game Engines: Towards Embodied Complex Systems Engineering
Uses Unity, TensorFlow, PPO, and GPU-trained multi-agent reinforcement learning to study embodied complex systems.
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Publication
Unifying Themes in Complex Systems IX / Springer
Why It Matters
Early applied work connecting game engines, reinforcement learning, and complex adaptive systems simulation.
Topics
Unity ML-Agentsreinforcement learningagent-based modelsembodied simulation