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fixing links on the notebooks [skip ci]
Signed-off-by: DONNOT Benjamin <[email protected]>
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examples/backend_integration/readme.md

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@@ -36,7 +36,7 @@ The way these objects behave and the equations they follow are totally irrelevan
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Traditionnally, the "Backend" will rely on another tools that carries out the computation, implements the equaitons, solve it etc. In this setting, the "Backend" is some "glue code" that map the representation of your solver to grid2op expected functions. Some example of backend include:
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- [PandapowerBackend](https://grid2op.readthedocs.io/en/latest/backend.html#grid2op.Backend.PandaPowerBackend): which is the default backend
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- [EducPandaPowerBackend](https://github.com/rte-france/Grid2Op/blob/master/grid2op/Backend/EducPandaPowerBackend.py): which is a "simplification" of the previous backend for education purpose. So we highly recommend you to check it out :-)
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- [EducPandaPowerBackend](https://github.com/Grid2Op/grid2op/blob/master/grid2op/Backend/EducPandaPowerBackend.py): which is a "simplification" of the previous backend for education purpose. So we highly recommend you to check it out :-)
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- [lightsim2grid](https://lightsim2grid.readthedocs.io/en/latest/lightsimbackend.html#lightsim2grid.lightSimBackend.LightSimBackend) which is a backend that uses a port of some function of pandapower in c++ for speed.
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We are also aware that some powerflows such as [Hades2](https://github.com/rte-france/hades2-distribution) and other commercial solvers such as PowerFactory are already connected with grid2op, so not open source at the moment.

getting_started/00_Introduction.ipynb

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"metadata": {},
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"source": [
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"# Introduction\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)"
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)"
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]
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},
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{

getting_started/00_SmallExample.ipynb

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"metadata": {},
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"source": [
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"# Some experiments on a 5 substations test case\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)"
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)"
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]
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},
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{

getting_started/01_Grid2opFramework.ipynb

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"metadata": {},
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"source": [
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"# This notebook present the most basic use of Grid2Op\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)"
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)"
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]
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},
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{

getting_started/02_Observation.ipynb

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"metadata": {},
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"source": [
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"# This Notebook will develop how to build an Agent and assess its performance.\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)"
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)"
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]
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},
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{

getting_started/03_Action.ipynb

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"source": [
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"# This Notebook focuses on the Action class\n",
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"\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)"
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)"
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]
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},
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{
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"1) the combination of actions can be **illegal** depending on the game rules in place. For example if at any given step you can only do an action on one single powerline, but you combine an action disconnecting two (or more) powerlines. In this case the resulting action will be illegal.\n",
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"2) the combination of actions might make the resulting action \"**ambiguous**\" (meaning that \"grid2op cannot make sense of what you are trying to do\"). This can happen for example if you mix action on topology and on powerline status. For example, if you decide to affect the \"origin\" side of powerline `i` to bus 1 in an action but you also say to disconnect powerline `i` in a second action. Grid2op currently will not \"chose for you\" what you want to do\\*.\n",
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"\n",
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"\\* Depending on the outcome of issue https://github.com/rte-france/Grid2Op/issues/201 we might chose in this case to have the last action added \"take the priority\" over the previous one. This might \"solve\" this specific problem but will also introduce a really important role in the order on which actions are summed. "
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"\\* Depending on the outcome of issue https://github.com/Grid2Op/grid2op/issues/201 we might chose in this case to have the last action added \"take the priority\" over the previous one. This might \"solve\" this specific problem but will also introduce a really important role in the order on which actions are summed. "
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]
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},
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{

getting_started/04_TrainingAnAgent.ipynb

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"metadata": {},
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"source": [
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"# Training Agent, action converters and l2rpn_baselines\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)"
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)"
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{
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"from l2rpn_baselines.PP0_SB3 import train\n",
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"```\n",
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"\n",
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"You can have a look at the \"examples\" section of the l2rpn baselines repository (https://github.com/rte-france/l2rpn-baselines/tree/master/examples)\n",
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"You can have a look at the \"examples\" section of the l2rpn baselines repository (https://github.com/grid2op/l2rpn-baselines/tree/master/examples)\n",
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"\n",
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"\n",
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"\n"

getting_started/05_StudyYourAgent.ipynb

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"metadata": {},
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"source": [
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"# Basic Agent Study\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)"
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)"
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]
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},
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{

getting_started/06_Redispatching_Curtailment.ipynb

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"metadata": {},
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"source": [
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"# In this notebook you will learn about the redispatching and curtailment capabilities offered by grid2op.\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)"
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)"
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]
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},
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{

getting_started/07_MultiEnv.ipynb

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"metadata": {},
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"source": [
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"# Agent, RL and MultiEnvironment\n",
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"Try this notebook out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)"
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"Try this notebook out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)"
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{

getting_started/08_PlottingCapabilities.ipynb

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"metadata": {},
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"source": [
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"# How to see what your agent did ?\n",
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"Try this notebook out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)"
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"Try this notebook out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)"
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{
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"source": [
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"import sys\n",
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"print(\"To install it, either uncomment the cell bellow, or type, in a command prompt:\\n{}\".format(\n",
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" (\"\\t{} -m pip install -m pip install -U git+https://github.com/rte-france/grid2viz --user\".format(sys.executable))))"
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" (\"\\t{} -m pip install -m pip install -U git+https://github.com/grid2op/grid2viz --user\".format(sys.executable))))"
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{
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"metadata": {},
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"outputs": [],
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"source": [
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"# !$sys.executable -m pip install -U git+https://github.com/rte-france/grid2viz --user"
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"# !$sys.executable -m pip install -U git+https://github.com/grid2op/grid2viz --user"
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]
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},
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{

getting_started/09_EnvironmentModifications.ipynb

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"metadata": {},
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"source": [
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"# Some powerline can be disconnected, and there is ~~nothing~~ something you can do about it\n",
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"Try this notebook out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)\n",
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"Try this notebook out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)\n",
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"\n",
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"<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" width=\"200\">\n",
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"Execute the cell below by removing the # character if you use google colab !\n",

getting_started/10_StorageUnits.ipynb

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"source": [
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"# In this notebook you will learn about the storage units in grid2op\n",
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"\n",
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"Try this notebook out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)\n",
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"Try this notebook out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)\n",
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"\n",
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"**Objectives**\n",
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"\n",

getting_started/11_IntegrationWithExistingRLFrameworks.ipynb

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"source": [
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"# Grid2Op integration with existing frameworks\n",
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"\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)\n",
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"\n",
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"\n",
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"**objectives** This notebooks briefly explains how to use grid2op with commonly used RL frameworks. It also explains the main methods / class of the `grid2op.gym_compat` module that ease grid2op integration with these frameworks.\n",
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"- https://github.com/PaddlePaddle/PARL/blob/develop/README.md (used by the winner teams of Neurips competitions !) Work in progress.\n",
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"- https://github.com/deepmind/acme\n",
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"\n",
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"Note also that there is still the possibility to use past codes in the l2rpn-baselines repository: https://github.com/rte-france/l2rpn-baselines . This repository contains code snippets that can be reuse to make really nice agents on the l2rpn competitions. You can try it out :-) \n",
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"Note also that there is still the possibility to use past codes in the l2rpn-baselines repository: https://github.com/grid2op/l2rpn-baselines . This repository contains code snippets that can be reuse to make really nice agents on the l2rpn competitions. You can try it out :-) \n",
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"\n",
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"<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" width=\"200\">\n",
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"Execute the cell below by removing the `#` characters if you use google colab !\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"If you want to use another RL framework, let us know by filling a github issue template here: https://github.com/rte-france/Grid2Op/issues/new?assignees=&labels=enhancement&template=feature_request.md&title=\n",
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"If you want to use another RL framework, let us know by filling a github issue template here: https://github.com/Grid2Op/grid2op/issues/new?assignees=&labels=enhancement&template=feature_request.md&title=\n",
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"\n",
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"Even better, if you have used another RL framework, let us know and we will find a way to integrate your developement into this notebook ! You can write an issue https://github.com/rte-france/Grid2Op/issues/new?assignees=&labels=documentation&template=documentation.md&title= and explaining which framework you used and a minimal code example we could use"
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"Even better, if you have used another RL framework, let us know and we will find a way to integrate your developement into this notebook ! You can write an issue https://github.com/Grid2Op/grid2op/issues/new?assignees=&labels=documentation&template=documentation.md&title= and explaining which framework you used and a minimal code example we could use"
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]
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}
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],

getting_started/11_ray_integration.ipynb

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"source": [
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"# Grid2Op integration with ray / rllib framework\n",
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"\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)\n",
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"\n",
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"\n",
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"**objectives** This notebooks briefly explains how to use grid2op with ray (rllib) RL framework. Make sure to read the previous notebook 11_IntegrationWithExistingRLFrameworks.ipynb for a deeper dive into what happens. We only show the working solution here.\n",

getting_started/11_stable_baselines3_integration.ipynb

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"source": [
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"# Grid2Op integration with stable baselines3 framework\n",
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"\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)\n",
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"\n",
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"\n",
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"**objectives** This notebooks briefly explains how to use grid2op with stable baselines 3 RL framework. Make sure to read the previous notebook [11_IntegrationWithExistingRLFrameworks](./11_IntegrationWithExistingRLFrameworks.ipynb) for a deeper dive into what happens. We only show the working solution here.\n",

getting_started/AUB_EECE699_20201103_ReinforcementLearningApplication.ipynb

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"source": [
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"# An RL application: managing the powergrid\n",
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"\n",
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"You can try this notebook interactively with (click on the logo): [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)\n",
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"You can try this notebook interactively with (click on the logo): [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)\n",
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"\n",
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"\n",
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"During this session we present an application to reinforcement learning in a \"real world\" scenario.\n",

getting_started/IEEE BDA Tutorial Series.ipynb

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"source": [
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"# Reminder\n",
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"\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/rte-france/Grid2Op/master)\n",
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"Try me out interactively with: [![Binder](./img/badge_logo.svg)](https://mybinder.org/v2/gh/Grid2Op/grid2op/master)\n",
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"\n",
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"## Goals\n",
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"- Keep the grid safe\n",

grid2op/tests/test_Runner.py

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"1.10.1",
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"1.10.2",
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"1.10.3",
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"1.10.4",
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]
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curr_version = "test_version"
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assert (

setup.py

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)
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setup(description='An gymnasium compatible environment to model sequential decision making for powersystems',
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setup(description='An gymnasium compatible environment to model sequential decision making for powersystems',
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long_description=long_description,
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long_description_content_type="text/markdown",
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author='Benjamin DONNOT',
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author_email='[email protected]',
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python_requires='>=3.8',
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url="https://github.com/rte-france/Grid2Op",
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url="https://github.com/Grid2Op/grid2op",
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packages=setuptools.find_packages(),
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include_package_data=True,
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install_requires=pkgs["required"],

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