Update README with release info and acks

README.md

@@ -7,6 +7,9 @@ PlaNet: A Deep Planning Network for Reinforcement Learning [[1]](#references). S
 
 Run with `python.main.py`. For best performance with DeepMind Control Suite, try setting environment variable `MUJOCO_GL=egl` (see instructions and details [here](https://github.com/deepmind/dm_control#rendering)).
 
+
+Results and pretrained models can be found in the [releases](https://github.com/Kaixhin/PlaNet/releases).
+
 Requirements
 ------------
 
@@ -17,14 +20,20 @@ Requirements
 - [Plotly](https://plot.ly/)
 - [PyTorch](http://pytorch.org/)
 
-To install all dependencies with Anaconda run `conda env create -f environment.yml` and use `source activate rainbow` to activate the environment. 
+To install all dependencies with Anaconda run `conda env create -f environment.yml` and use `source activate planet` to activate the environment. 
 
 Links
 -----
 
 - [Introducing PlaNet: A Deep Planning Network for Reinforcement Learning](https://ai.googleblog.com/2019/02/introducing-planet-deep-planning.html)
 - [google-research/planet](https://github.com/google-research/planet)
 
+Acknowledgements
+----------------
+
+- [@danijar](https://github.com/danijar) for [google-research/planet](https://github.com/google-research/planet) and [help reproducing results](https://github.com/google-research/planet/issues/28)
+- [@sg2](https://github.com/sg2) for [running experiments](https://github.com/Kaixhin/PlaNet/issues/9)
+
 References
 ----------