[MINOR] Update docs with pip instructions, publications

Author: Mark2000

docs/source/index.rst

@@ -32,28 +32,15 @@ Quickstart
 ----------
 Installation
 ^^^^^^^^^^^^
-Complete installation instructions and common troubleshooting tips can be found 
-:doc:`here <install>`. To install BSK-RL:
-
-#. Install the `Basilisk <https://hanspeterschaub.info/basilisk>`_ spacecraft simulation 
-   framework.
-#. Clone BSK-RL.
+BSK-RL is available on PyPi and can be installed with pip. Simply run 
 
     .. code-block:: console
 
-        $ git clone git@github.com:AVSLab/bsk_rl.git && cd bsk_rl
-
-#. Install BSK-RL in the same virtual environment as Basilisk.
-
-    .. code-block:: console
+        $ pip install bsk-rl
 
-        (.venv) $ python -m pip install -e .
-
-#. Test the installation.
-
-    .. code-block:: console
+Complete installation instructions for an editable installation and common troubleshooting tips can be found 
+:doc:`here <install>`.
 
-        (.venv) $ pytest .
 
 Construct an Environment
 ^^^^^^^^^^^^^^^^^^^^^^^^

docs/source/install.rst

@@ -5,18 +5,34 @@ Installation
     :maxdepth: 1
 
 
-Instructions
-------------
+Quick Installation
+------------------
+BSK-RL is available on PyPi and can be installed with pip. Simply run
+
+      .. code-block:: console
+   
+         $ pip install bsk-rl
+
+
+Editable Installation
+---------------------
 #. Install the `Basilisk <http://hanspeterschaub.info/basilisk/Install.html>`_ spacecraft
-   simulation framework, following instructions for the appropriate operating system.
-   Installation on MacOS and Linux is preferable to Windows. Use a Python virtual
-   environment as suggested in the Basilisk installation instructions.
-#. Clone the BSK-RL repository. 
+   simulation framework, either with `pip install bsk` or by following instructions for
+   the appropriate operating system. Installation on MacOS and Linux are preferable to
+   Windows. Use a Python virtual environment as suggested in the Basilisk installation
+   instructions.
+#. Clone the BSK-RL repository over SSH:
 
    .. code-block:: console
         
        $ git clone git@github.com:AVSLab/bsk_rl.git
 
+   or over HTTPS, as some networks block SSH:
+
+   .. code-block:: console
+
+       $ git clone https://github.com/AVSLab/bsk_rl.git
+
 #. Move to the base directory of the repository.
 
    .. code-block:: console
@@ -58,24 +74,4 @@ Instructions
 Common Issues
 -------------
 
-Please report new installation issues on GitHub.
-
-SPICE Errors
-^^^^^^^^^^^^
-
-Errors such as 
-
-   .. code-block:: console
-
-        Toolkit version: N0065
-
-        SPICE(NOSUCHFILE) --
-
-        The attempt to load
-        "/home/user/basilisk/dist3/Basilisk/supportData/EphemerisData/de430.bsp" by
-        the routine FURNSH failed. It could not be located.
-
-        A traceback follows. The name of the highest level module is first.
-        furnsh_c --> FURNSH --> ZZLDKER
-
-can be resolved by ensuring that `Basilisk is installed using git-lfs <http://hanspeterschaub.info/basilisk/Install/pullCloneBSK.html>`_.
+Please report new installation issues on GitHub.

docs/source/publications.rst

@@ -38,9 +38,11 @@ Conference Papers
 #. \M. Stephenson, L. Quevedo Mantovani, A. Cheval and H. Schaub, `“Quantifying The Optimality Of A Distributed Rl-Based Autonomous Earth-Observing Constellation,” <https://hanspeterschaub.info/Papers/Stephenson2025.pdf>`_ AAS Guidance, Navigation and Control Conference, Breckenridge, CO, January 31 – February 5, 2025.
 #. \L. Quevedo Mantovani and H. Schaub, `“Improving Robustness Of Autonomous Spacecraft Scheduling Using Curriculum Learning,” <https://hanspeterschaub.info/Papers/QuevedoMantovani2025.pdf>`_ AAS Guidance, Navigation and Control Conference, Breckenridge, CO, January 31 – February 5, 2025.
 #. \M. Stephenson, D. Huterer Prats and H. Schaub, `“Autonomous Satellite Inspection in Low Earth Orbit with Optimization-Based Safety Guarantees,” <https://hanspeterschaub.info/Papers/Stephenson2025a.pdf>`_ International Workshop on Planning & Scheduling for Space, Toulouse, France, April 28–30, 2025.
-#. \M. Stephenson, L. Quevedo Mantovani and H. Schaub, “Achieving Near-Optimal Performance in Autonomous Earth Observing Satellite Scheduling using semi-MDPs,” International Workshop on Planning & Scheduling for Space, Toulouse, France, April 28–30, 2025.
+#. \M. Stephenson, L. Quevedo Mantovani and H. Schaub, `“Achieving Near-Optimal Performance in Autonomous Earth Observing Satellite Scheduling using semi-MDPs,” <https://hanspeterschaub.info/Papers/Stephenson2025c.pdf>`_ International Workshop on Planning & Scheduling for Space, Toulouse, France, April 28–30, 2025.
 #. \L. Quevedo Mantovani and H. Schaub, `“Performance Evaluation of Shielded Neural Networks for Autonomous Agile Earth Observing Satellites in Long Term Scenarios,” <https://hanspeterschaub.info/Papers/QuevedoMantovani2025a.pdf>`_ International Workshop on Planning & Scheduling for Space, Toulouse, France, April 28–30, 2025.
-#. \A. Cheval and H. Schaub, “Reinforcement Learning For Autonomous Strip Imaging Task Scheduling In Super-Agile Satellites,” AAS Astrodynamics Specialist Conference, Boston, Massachusetts, August 10–14, 2025.
-#. \Y. Nagano and H. Schaub, “Enhancing Fault Resilience In {RL}-Based Satellite Autonomous Task Scheduling,” AAS Astrodynamics Specialist Conference, Boston, Massachusetts, August 10–14, 2025.
-#. \D. Huterer Prats and H. Schaub, “Reinforcement Learning for Space-to-Space Surveillance: Autonomous Scheduling for Resident Space Object Imaging,” Advanced Maui Optical and Space Surveillance Technologies Conference, Maui, Hawaii, September 16–19, 2025.
-#. \M. Stephenson and H. Schaub, “Safe, Autonomous Multiagent Inspection of Space Objects Leveraging Relative Orbit Dynamics,” Advanced Maui Optical and Space Surveillance Technologies Conference, Maui, Hawaii, September 16–19, 2025.
+#. \M. A. Hady, S. Hu, M. Pratama, J. Cao, and R. Kowalczyk, `“Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study,” <https://arxiv.org/abs/2506.15207>`_ arXiv preprint, June 2025.
+#. \C. Whitney and J. Melville, `“Toward Trusted Onboard AI: Advancing Small Satellite Operations using Reinforcement Learning,” <https://www.arxiv.org/abs/2507.22198>`_ 39th Small Satellite Conference, Salt Lake City, UT, August 10-13, 2025.
+#. \A. Cheval and H. Schaub, `“Reinforcement Learning For Autonomous Strip Imaging Task Scheduling In Super-Agile Satellites,” <https://hanspeterschaub.info/Papers/Cheval2025b.pdf>`_ AAS Astrodynamics Specialist Conference, Boston, Massachusetts, August 10–14, 2025.
+#. \Y. Nagano and H. Schaub, `“Enhancing Fault Resilience In {RL}-Based Satellite Autonomous Task Scheduling,” <https://hanspeterschaub.info/Papers/Nagano2025a.pdf>`_ AAS Astrodynamics Specialist Conference, Boston, Massachusetts, August 10–14, 2025.
+#. \D. Huterer Prats and H. Schaub, `“Reinforcement Learning for Space-to-Space Surveillance: Autonomous Scheduling for Resident Space Object Imaging,” <https://hanspeterschaub.info/Papers/Prats2025.pdf>`_ Advanced Maui Optical and Space Surveillance Technologies Conference, Maui, Hawaii, September 16–19, 2025.
+#. \M. Stephenson and H. Schaub, `“Safe, Autonomous Multiagent Inspection of Space Objects Leveraging Relative Orbit Dynamics,” <https://hanspeterschaub.info/Papers/Stephenson2025b.pdf>`_ Advanced Maui Optical and Space Surveillance Technologies Conference, Maui, Hawaii, September 16–19, 2025.

pyproject.toml

@@ -6,8 +6,8 @@ build-backend = "setuptools.build_meta"
 name = "bsk_rl"
 version = "1.2.5"
 authors = [
-    { name = "Adam Herrmann", email = "adam.herrmann@colorado.edu" },
     { name = "Mark Stephenson", email = "mark.a.stephenson@colorado.edu" },
+    { name = "Adam Herrmann", email = "adam.herrmann@colorado.edu" },
 ]
 description = "RL environments and tools for spacecraft autonomy research, built on Basilisk. Developed by the AVS Lab."
 readme = "README.md"