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+# Metastable Baselines
+
+<p align='center'>
+  <img src='./icon.svg'>
+</p>
+
+During training of a RL-Agent we follow the gradient of the loss, which leads us to a minimum. In cases where the found minimum is merely a local minimum, this can be seen as a *false vacuum* in our loss space. Exploration mechanisms try to let our training procedure escape these *stable states*: Making them *metastable*. 
+
+In order to archive this, this Repo contains some extensions for [Stable Baselines 3 by DLR-RM](https://github.com/DLR-RM/stable-baselines3)  
+These extensions include:
+
+- An implementation of ["Differentiable Trust Region Layers for Deep Reinforcement Learning" by Fabian Otto et al.](https://arxiv.org/abs/2101.09207)
+- Support for Contextual Covariances
+- Multiple parameterization strategies for the Covariance
+
+The resulting algorithms can than be tested for their ability of exploration in the enviroments provided by [Project Columbus](https://git.dominik-roth.eu/dodox/Columbus)  
+
+This Repo was created as part of my bachelor-thesis at ALR (KIT).
+
+## Installation
+#### (optional) Columbus for test.py and replay.py
+Install [Project Columbus](https://git.dominik-roth.eu/dodox/Columbus) by following the instructions in the repo.  
+
+#### Install dependency: Metastable Projections
+Follow instructions for the [Public Version](https://git.dominik-roth.eu/dodox/metastable-projections-public) ([GitHub Mirror](https://github.com/D-o-d-o-x/metastable-projections-public)) / [Private Version](https://git.dominik-roth.eu/dodox/metastable-projections) ([GitHub Mirror](https://github.com/D-o-d-o-x/metastable-projections)).
+The private version also requires ALR's ITPAL as a dependency. Only the private version supports KL Projections.
+
+#### Install as a package
+Then install this repo as a package:
+```
+pip install -e .
+```
+
+## License
+Since this Repo is an extension to [Stable Baselines 3 by DLR-RM](https://github.com/DLR-RM/stable-baselines3), it contains some of it's code. SB3 is licensed under the [MIT-License](https://github.com/DLR-RM/stable-baselines3/blob/master/LICENSE).