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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Andry Chowanda

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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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