Industry Expert Blogs
Reviewing different Neural Network Models for Multi-Agent games on Arm using Unityarm Blogs - Sofia Jegnell, ArmSep. 12, 2023 |
During the Game Developer Conference (GDC) in March 2023, we showcased our multi-agent demo called Candy Clash, a mobile game containing 100 intelligent agents. In the demo, the agents are developed using Unity’s ML-Agents Toolkit which allows us to train them using reinforcement learning (RL). To find out more about the demo and its development, see our previous blog series. Previously, the agents had a simple Multi-Layer Perceptron (MLP) Neural Network (NN) model. This blog explores the impact of using other types of neural networks models on the gaming experience and performance.
Related Blogs
- Digitizing Data Using Optical Character Recognition (OCR)
- Intel Embraces the RISC-V Ecosystem: Implications as the Other Shoe Drops
- The design of the NoC is key to the success of large, high-performance compute SoCs
- Extending Arm Total Design Ecosystem to Accelerate Infrastructure Innovation
- Mitigating Side-Channel Attacks In Post Quantum Cryptography (PQC) With Secure-IC Solutions