remove master references.

Dockerfile

@@ -1,4 +1,4 @@
-# From https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/supported-tags.md
+# From https://gitlab.com/nvidia/container-images/cuda/blob/main/doc/supported-tags.md
 FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04
 
 RUN yes | unminimize

README.md

@@ -53,7 +53,7 @@ descriptions of all these features.
 [here](https://github.com/Unity-Technologies/ml-agents/tree/release_13_docs/docs/Readme.md)
 to get started with the latest release of ML-Agents.**
 
-The table below lists all our releases, including our `master` branch which is
+The table below lists all our releases, including our `main` branch which is
 under active development and may be unstable. A few helpful guidelines:
 - The [Versioning page](docs/Versioning.md) overviews how we manage our GitHub
   releases and the versioning process for each of the ML-Agents components.
@@ -69,7 +69,7 @@ under active development and may be unstable. A few helpful guidelines:
 
 | **Version** | **Release Date** | **Source** | **Documentation** | **Download** | **Python Package** | **Unity Package** |
 |:-------:|:------:|:-------------:|:-------:|:------------:|:------------:|:------------:|
-| **master (unstable)** | -- | [source](https://github.com/Unity-Technologies/ml-agents/tree/master) | [docs](https://github.com/Unity-Technologies/ml-agents/tree/master/docs/Readme.md) | [download](https://github.com/Unity-Technologies/ml-agents/archive/master.zip) | -- | -- |
+| **main (unstable)** | -- | [source](https://github.com/Unity-Technologies/ml-agents/tree/main) | [docs](https://github.com/Unity-Technologies/ml-agents/tree/main/docs/Readme.md) | [download](https://github.com/Unity-Technologies/ml-agents/archive/main.zip) | -- | -- |
 | **Release 13** | **February 17, 2021** | **[source](https://github.com/Unity-Technologies/ml-agents/tree/release_13)** | **[docs](https://github.com/Unity-Technologies/ml-agents/tree/release_13_docs/docs/Readme.md)** | **[download](https://github.com/Unity-Technologies/ml-agents/archive/release_13.zip)** | **[0.24.0](https://pypi.org/project/mlagents/0.24.0/)** | **[1.8.0](https://docs.unity3d.com/Packages/[email protected]/manual/index.html)** |
 | **Release 12** | December 22, 2020 | [source](https://github.com/Unity-Technologies/ml-agents/tree/release_12) | [docs](https://github.com/Unity-Technologies/ml-agents/tree/release_12_docs/docs/Readme.md) | [download](https://github.com/Unity-Technologies/ml-agents/archive/release_12.zip) | [0.23.0](https://pypi.org/project/mlagents/0.23.0/) | [1.7.2](https://docs.unity3d.com/Packages/[email protected]/manual/index.html) |
 | **Release 11** | December 21, 2020 | [source](https://github.com/Unity-Technologies/ml-agents/tree/release_11) | [docs](https://github.com/Unity-Technologies/ml-agents/tree/release_11_docs/docs/Readme.md) | [download](https://github.com/Unity-Technologies/ml-agents/archive/release_11.zip) | [0.23.0](https://pypi.org/project/mlagents/0.23.0/) | [1.7.0](https://docs.unity3d.com/Packages/[email protected]/manual/index.html) |

com.unity.ml-agents/CHANGELOG.md

@@ -62,7 +62,7 @@ and this project adheres to
 - Added a `--torch-device` commandline option to `mlagents-learn`, which sets the default
   [`torch.device`](https://pytorch.org/docs/stable/tensor_attributes.html#torch.torch.device) used for training. (#4888)
 - The `--cpu` commandline option had no effect and was removed. Use `--torch-device=cpu` to force CPU training. (#4888)
-- The `mlagents_env` API has changed, `BehaviorSpec` now has a `observation_specs` property containing a list of `ObservationSpec`. For more information on `ObservationSpec` see [here](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Python-API.md#behaviorspec). (#4763, #4825)
+- The `mlagents_env` API has changed, `BehaviorSpec` now has a `observation_specs` property containing a list of `ObservationSpec`. For more information on `ObservationSpec` see [here](https://github.com/Unity-Technologies/ml-agents/blob/main/docs/Python-API.md#behaviorspec). (#4763, #4825)
 
 ### Bug Fixes
 #### com.unity.ml-agents (C#)
@@ -128,7 +128,7 @@ discrete actions for shooting. (#4746)
 #### com.unity.ml-agents (C#)
 #### ml-agents / ml-agents-envs / gym-unity (Python)
  - PyTorch trainers are now the default. See the
- [installation docs](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Installation.md) for
+ [installation docs](https://github.com/Unity-Technologies/ml-agents/blob/main/docs/Installation.md) for
  more information on installing PyTorch. For the time being, TensorFlow is still available;
  you can use the TensorFlow backend by adding `--tensorflow` to the CLI, or
  adding `framework: tensorflow` in the configuration YAML. (#4517)
@@ -137,7 +137,7 @@ discrete actions for shooting. (#4746)
 #### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
 - The Barracuda dependency was upgraded to 1.1.2 (#4571)
 - Utilities were added to `com.unity.ml-agents.extensions` to make it easier to
-integrate with match-3 games. See the [readme](https://github.com/Unity-Technologies/ml-agents/blob/master/com.unity.ml-agents.extensions/Documentation~/Match3.md)
+integrate with match-3 games. See the [readme](https://github.com/Unity-Technologies/ml-agents/blob/main/com.unity.ml-agents.extensions/Documentation~/Match3.md)
 for more details. (#4515)
 #### ml-agents / ml-agents-envs / gym-unity (Python)
 - The `action_probs` node is no longer listed as an output in TensorFlow models (#4613).
@@ -160,7 +160,7 @@ goes larger than 2^31. Previous Tensorflow checkpoints will become incompatible
 #### ml-agents / ml-agents-envs / gym-unity (Python)
  - Added the Random Network Distillation (RND) intrinsic reward signal to the Pytorch
  trainers. To use RND, add a `rnd` section to the `reward_signals` section of your
- yaml configuration file. [More information here](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Training-Configuration-File.md#rnd-intrinsic-reward) (#4473)
+ yaml configuration file. [More information here](https://github.com/Unity-Technologies/ml-agents/blob/main/docs/Training-Configuration-File.md#rnd-intrinsic-reward) (#4473)
 ### Minor Changes
 #### com.unity.ml-agents (C#)
  - Stacking for compressed observations is now supported. An additional setting
@@ -279,11 +279,11 @@ first trajectory processed. (#4299)
 ### Major Changes
 #### ml-agents / ml-agents-envs / gym-unity (Python)
 - The Parameter Randomization feature has been refactored to enable sampling of new parameters per episode to improve robustness. The
-  `resampling-interval` parameter has been removed and the config structure updated. More information [here](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Training-ML-Agents.md). (#4065)
+  `resampling-interval` parameter has been removed and the config structure updated. More information [here](https://github.com/Unity-Technologies/ml-agents/blob/main/docs/Training-ML-Agents.md). (#4065)
 - The Parameter Randomization feature has been merged with the Curriculum feature. It is now possible to specify a sampler
 in the lesson of a Curriculum. Curriculum has been refactored and is now specified at the level of the parameter, not the
 behavior. More information
-[here](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Training-ML-Agents.md).(#4160)
+[here](https://github.com/Unity-Technologies/ml-agents/blob/main/docs/Training-ML-Agents.md).(#4160)
 
 ### Minor Changes
 #### com.unity.ml-agents (C#)

com.unity.ml-agents/CONTRIBUTING.md

@@ -8,7 +8,7 @@ of guidelines to ensure that your extensions can be easily integrated.
 ## Communication
 
 First, please read through our
-[code of conduct](https://github.com/Unity-Technologies/ml-agents/blob/master/CODE_OF_CONDUCT.md),
+[code of conduct](https://github.com/Unity-Technologies/ml-agents/blob/main/CODE_OF_CONDUCT.md),
 as we expect all our contributors to follow it.
 
 Second, before starting on a project that you intend to contribute to the
@@ -25,7 +25,7 @@ the `Requests` or `Bug` label.
 
 ## Git Branches
 
-The master branch corresponds to the most recent version of the project. Note
+The main branch corresponds to the most recent version of the project. Note
 that this may be newer that the
 [latest release](https://github.com/Unity-Technologies/ml-agents/releases/tag/latest_release).
 

docs/Installation-Anaconda-Windows.md

@@ -127,7 +127,7 @@ git clone --branch release_13 https://github.com/Unity-Technologies/ml-agents.gi
 ```
 
 The `--branch release_13` option will switch to the tag of the latest stable
-release. Omitting that will get the `master` branch which is potentially
+release. Omitting that will get the `main` branch which is potentially
 unstable.
 
 If you don't want to use Git, you can find download links on the

docs/Installation.md

@@ -64,14 +64,14 @@ git clone --branch release_13 https://github.com/Unity-Technologies/ml-agents.gi
 ```
 
 The `--branch release_13` option will switch to the tag of the latest stable
-release. Omitting that will get the `master` branch which is potentially
+release. Omitting that will get the `main` branch which is potentially
 unstable.
 
 #### Advanced: Local Installation for Development
 
 You will need to clone the repository if you plan to modify or extend the
 ML-Agents Toolkit for your purposes. If you plan to contribute those changes
-back, make sure to clone the `master` branch (by omitting `--branch release_13`
+back, make sure to clone the `main` branch (by omitting `--branch release_13`
 from the command above). See our
 [Contributions Guidelines](../com.unity.ml-agents/CONTRIBUTING.md) for more
 information on contributing to the ML-Agents Toolkit.

docs/Migrating.md

@@ -70,7 +70,7 @@ folder
 - The Parameter Randomization feature has been merged with the Curriculum feature. It is now possible to specify a sampler
 in the lesson of a Curriculum. Curriculum has been refactored and is now specified at the level of the parameter, not the
 behavior. More information
-[here](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Training-ML-Agents.md).(#4160)
+[here](https://github.com/Unity-Technologies/ml-agents/blob/main/docs/Training-ML-Agents.md).(#4160)
 
 ### Steps to Migrate
 - The configuration format for curriculum and parameter randomization has changed. To upgrade your configuration files,

docs/dox-ml-agents.conf

@@ -1294,7 +1294,7 @@ CHM_FILE               =
 HHC_LOCATION           =
 
 # The GENERATE_CHI flag controls if a separate .chi index file is generated
-# (YES) or that it should be included in the master .chm file (NO).
+# (YES) or that it should be included in the main .chm file (NO).
 # The default value is: NO.
 # This tag requires that the tag GENERATE_HTMLHELP is set to YES.
 

docs/localized/KR/docs/Installation-Anaconda-Windows.md

@@ -104,7 +104,7 @@ ml-agents Conda ȯ
 git clone https://github.com/Unity-Technologies/ml-agents.git
 ```
 
-���� Git�� ����ϰ� ���� �ʴٸ� ������ [��ũ](https://github.com/Unity-Technologies/ml-agents/archive/master.zip)���� ��� ������ �ٿ�ε� �� �� �ֽ��ϴ�.
+���� Git�� ����ϰ� ���� �ʴٸ� ������ [��ũ](https://github.com/Unity-Technologies/ml-agents/archive/main.zip)���� ��� ������ �ٿ�ε� �� �� �ֽ��ϴ�.
 
 `UnitySDK` ���� ���丮���� ������Ʈ�� �߰��� ����Ƽ �ּ��� ���ԵǾ� �ֽ��ϴ�. ���� �����ϴµ� ������ �Ǵ� ���� [���� ȯ��](Learning-Environment-Examples.md)���� �ֽ��ϴ�.
 

docs/localized/RU/README.md

@@ -1,4 +1,4 @@
-<img src="https://github.com/Unity-Technologies/ml-agents/blob/master/docs/images/image-banner.png" align="middle" width="3000"/>
+<img src="https://github.com/Unity-Technologies/ml-agents/blob/main/docs/images/image-banner.png" align="middle" width="3000"/>
 
 # Unity ML-Agents Toolkit Version Release 7
 
@@ -61,7 +61,7 @@ Proximal Policy Optimization (PPO) и Soft Actor-Critic (SAC). Первый ал
 См. [здесь](https://github.com/Unity-Technologies/ml-agents/tree/release_7_docs/docs/Readme.md),
 чтобы начать работать с самой последней версий ML-Agents.**
 
-Таблица внизу - список всех наших релизов, включая master ветку, над которой мы ведем активную работу
+Таблица внизу - список всех наших релизов, включая main ветку, над которой мы ведем активную работу
 и которая может быть нестабильной. Полезная информация:
 
 [Управление версиями](docs/Versioning.md) - описание того, как мы работам с GitHub.
@@ -72,7 +72,7 @@ Proximal Policy Optimization (PPO) и Soft Actor-Critic (SAC). Первый ал
 
 | **Version** | **Дата релиза** | **Source** | **Документация** | **Загрузка** |
 |:-------:|:------:|:-------------:|:-------:|:------------:|
-| **master (unstable)** | -- | [source](https://github.com/Unity-Technologies/ml-agents/tree/master) | [docs](https://github.com/Unity-Technologies/ml-agents/tree/master/docs/Readme.md) | [download](https://github.com/Unity-Technologies/ml-agents/archive/master.zip) |
+| **main (unstable)** | -- | [source](https://github.com/Unity-Technologies/ml-agents/tree/main) | [docs](https://github.com/Unity-Technologies/ml-agents/tree/main/docs/Readme.md) | [download](https://github.com/Unity-Technologies/ml-agents/archive/main.zip) |
 | **Release 7** | **16 Сентября, 2020** | **[source](https://github.com/Unity-Technologies/ml-agents/tree/release_7)** | **[docs](https://github.com/Unity-Technologies/ml-agents/tree/release_7_docs/docs/Readme.md)** | **[download](https://github.com/Unity-Technologies/ml-agents/archive/release_7.zip)** |
 | **Release 6** | 12 Августа, 2020 | [source](https://github.com/Unity-Technologies/ml-agents/tree/release_6) | [docs](https://github.com/Unity-Technologies/ml-agents/tree/release_6_docs/docs/Readme.md) | [download](https://github.com/Unity-Technologies/ml-agents/archive/release_6.zip) |
 | **Release 5** | 31 Июля, 2020 | [source](https://github.com/Unity-Technologies/ml-agents/tree/release_5) | [docs](https://github.com/Unity-Technologies/ml-agents/tree/release_5_docs/docs/Readme.md) | [download](https://github.com/Unity-Technologies/ml-agents/archive/release_5.zip) |