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The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
- It offers an adequate simulation environment for AI researchers as well as game developers.
- It has good readme documentation that mentions stable releases, updated features, and additional resources for ML-Agent Toolkit.
- It has more than a hundred contributors which include lots of active contributors.
- It has wonderful documentation files in wide range of subjects from the usage of methods to the instructions about how to set hyperparameters.
- It has a well explained installation guide.
- It does not have a wiki page.
- It does not have a sufficient number of labels to properly define an issue.
- It does not have a good issue management system. Some issues remain open even though problem is resolved.