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Docs: Add mobile-env to community projects (#1617)
* Docs: Add mobile-env to community projects * Update docs Readme with correct install command Without the quotes, I get `no matches found: .[docs]` * Add changelog entry for adding mobile-env * Fix format in projects.rst Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org> --------- Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
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3 changed files with 18 additions and 2 deletions
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@ -8,7 +8,7 @@ This folder contains documentation for the RL baselines.
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#### Install Sphinx and Theme
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Execute this command in the project root:
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```
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pip install -e .[docs]
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pip install -e ".[docs]"
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```
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#### Building the Docs
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@ -38,6 +38,7 @@ Others:
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Documentation:
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^^^^^^^^^^^^^^
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- Fixed callback example (@BertrandDecoster)
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- Added mobile-env as new community project (@stefanbschneider)
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Release 2.0.0 (2023-06-22)
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@ -1398,4 +1399,4 @@ And all the contributors:
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@Melanol @qgallouedec @francescoluciano @jlp-ue @burakdmb @timothe-chaumont @honglu2875
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@anand-bala @hughperkins @sidney-tio @AlexPasqua @dominicgkerr @Akhilez @Rocamonde @tobirohrer @ZikangXiong
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@DavyMorgan @luizapozzobon @Bonifatius94 @theSquaredError @harveybellini @DavyMorgan @FieteO @jonasreiher @npit @WeberSamuel @troiganto
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@lutogniew @lbergmann1 @lukashass @BertrandDecoster @pseudo-rnd-thoughts
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@lutogniew @lbergmann1 @lukashass @BertrandDecoster @pseudo-rnd-thoughts @stefanbschneider
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@ -197,3 +197,18 @@ A simple library for pink noise exploration with deterministic (DDPG / TD3) and
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| Authors: Onno Eberhard, Jakob Hollenstein, Cristina Pinneri, Georg Martius
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| Github: https://github.com/martius-lab/pink-noise-rl
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| Paper: https://openreview.net/forum?id=hQ9V5QN27eS (Oral at ICLR 2023)
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mobile-env
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----------
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An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
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It allows simulating various scenarios with moving users in a cellular network with multiple base stations.
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- Written in pure Python, easy to modify and extend, and can be installed directly via PyPI.
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- Implements the standard Gymnasium interface such that it can be used with all common frameworks for reinforcement learning.
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- There are examples for both single-agent and multi-agent RL using either `stable-baselines3` or Ray RLlib.
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| Authors: Stefan Schneider, Stefan Werner
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| Github: https://github.com/stefanbschneider/mobile-env
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| Paper: https://ris.uni-paderborn.de/download/30236/30237 (2022 IEEE/IFIP Network Operations and Management Symposium (NOMS))
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