update of api docstrings across coach and tutorials [WIP] (#91)

* updating the documentation website
* adding the built docs
* update of api docstrings across coach and tutorials 0-2
* added some missing api documentation
* New Sphinx based documentation

docs_raw/source/features/environments.rst

@@ -0,0 +1,31 @@
+Environments
+============
+
+Coach supports a large number of environments which can be solved using reinforcement learning.
+To find a detailed documentation of the environments API, see the `environments section <../components/environments/index.html>`_.
+The supported environments are:
+
+* `DeepMind Control Suite <https://github.com/deepmind/dm_control>`_  - a set of reinforcement learning environments
+  powered by the MuJoCo physics engine.
+
+* `Blizzard Starcraft II <https://github.com/deepmind/pysc2>`_  - a popular strategy game which was wrapped with a
+  python interface by DeepMind.
+
+* `ViZDoom <http://vizdoom.cs.put.edu.pl/>`_  - a Doom-based AI research platform for reinforcement learning
+  from raw visual information.
+
+* `CARLA <https://github.com/carla-simulator/carla>`_  - an open-source simulator for autonomous driving research.
+
+* `OpenAI Gym <https://gym.openai.com/>`_  - a library which consists of a set of environments, from games to robotics.
+  Additionally, it can be extended using the API defined by the authors.
+
+  In Coach, we support all the native environments in Gym, along with several extensions such as:
+
+  * `Roboschool <https://github.com/openai/roboschool>`_  - a set of environments powered by the PyBullet engine,
+    that offer a free alternative to MuJoCo.
+
+  * `Gym Extensions <https://github.com/Breakend/gym-extensions>`_  - a set of environments that extends Gym for
+    auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)
+
+  * `PyBullet <https://github.com/bulletphysics/bullet3/tree/master/examples/pybullet>`_  - a physics engine that
+    includes a set of robotics environments.