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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Muhammad Fakhri Loebis

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#reinforcement learning Open access Oct 2026

Optimizing and evaluating proximal policy optimization and soft actor-critic agents in Unity ML-Agents-based games

This study presents a comparative analysis of proximal policy optimization (PPO) and soft actor-critic (SAC) for training autonomous delivery agents in high-fidelity 3D environments using Unity ML-Agents. Both algorithms were evaluated with identical hyperparameters and reward functions across five independent runs to...

Muhammad Fakhri Loebis, Andry Chowanda · 0 citations

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