The Unity Machine Learning Agents Toolkit
The Unity Machine Learning Agents Toolkit (ML-Agents Toolkit) is a collection of software and plugins that help developers write autonomous game agents powered by machine learning algorithms. You can explore and download the source code at the GitHub repository at https://github.com/Unity-Technologies/ml-agents.
The ML-Agents Toolkit is based on the reinforcement learning algorithm. Simplistically, reinforcement learning is the algorithmic equivalent of training a dog. For example, if you want to teach a dog some trick, you give him a command, and then, when the dog does what you expect, you reward him. The reward tells your dog that it responded correctly to the command, and therefore, the next time it hears the same command, it will do the same thing to get a new reward.
Note
In reinforcement learning, you can also punish your agent when doing the wrong things, but in the dog-training example, I can assure you that punishment is...
