* Fix naming conventions for consistency
* Add generalization link to ML-Agents Overview
* Add generalization to main Readme
* Include types of samplers available for use
* Support for multiple environment configurations and training scenarios
* Train memory-enhanced agents using deep reinforcement learning
* Easily definable Curriculum Learning scenarios
* Easily definable Curriculum Learning and Generalization scenarios
* Broadcasting of agent behavior for supervised learning
* Built-in support for Imitation Learning
* Flexible agent control with On Demand Decision Making
[submit an issue](https://github.com/Unity-Technologies/ml-agents/issues) and
make sure to include as much detail as possible.
Your opinion matters a great deal to us. Only by hearing your thoughts on the Unity ML-Agents Toolkit can we continue to improve and grow. Please take a few minutes to [let us know about it](https://github.com/Unity-Technologies/ml-agents/issues/1454).
Your opinion matters a great deal to us. Only by hearing your thoughts on the Unity ML-Agents Toolkit can we continue to improve and grow. Please take a few minutes to [let us know about it](https://github.com/Unity-Technologies/ml-agents/issues/1454).
The implementation of the samplers can be found at `ml-agents-envs/mlagents/envs/sampler_class.py`.
### Defining a new sampler method
### Training with Generalization Learning
We first begin with setting up the sampler file. After the sampler file is defined and configured, we proceed by launching `mlagents-learn` and specify our configured sampler file with the `--sampler` flag. To demonstrate, if we wanted to train a 3D ball agent with generalization using the `config/generalization-test.yaml` sampling setup, we can run
We first begin with setting up the sampler file. After the sampler file is defined and configured, we proceed by launching `mlagents-learn` and specify our configured sampler file with the `--sampler` flag. To demonstrate, if we wanted to train a 3D ball agent with generalization using the `config/3dball_generalize.yaml` sampling setup, we can run