Train and embed intelligent agents by leveraging state-of-the-art deep learning technology. Creating responsive and intelligent virtual players and non-playable game characters is hard. Especially when the game is complex. To create intelligent behaviors, developers have had to resort to writing tons of code or using highly specialized tools. With Unity Machine Learning Agents (ML-Agents), you are no longer “coding” emergent behaviors, but rather teaching intelligent agents to “learn” through a combination of deep reinforcement learning and imitation learning. Using ML-Agents allows developers to create more compelling gameplay and an enhanced game experience. Advancement of artificial intelligence (AI) research depends on figuring out tough problems in existing environments using current benchmarks for training AI models. Using Unity and the ML-Agents toolkit, you can create AI environments that are physically, visually, and cognitively rich.
Features
- Create an intelligent game experience
- Create realistic and complex AI environments to train models
- You can create AI environments that are physically, visually, and cognitively rich
- You can use your AI environments for benchmarking as well as researching new algorithms and methods
- Connect your integrated Unity project and start training the agents to learn the right behaviour
- When training is complete, embed the trained agent model back into your Unity project