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@@ -10,11 +10,21 @@ using PlutoDevMacros, LinearAlgebra, Random, Statistics
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# ╔═╡ 98c33627-bd5e-4d9e-b3c0-0c215b3abc1c
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PlutoDevMacros.@frompackage@raw_str(joinpath(@__DIR__, "..", "..", "TabularRL.jl")) using TabularRL
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# ╔═╡ 9a3df08c-7bc5-4508-a48a-44e01fcbbf5c
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begin
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using PlutoUI
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TableOfContents()
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end
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# ╔═╡ 1504a12d-940e-4c03-9b83-6301b303d64b
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md"""
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# Installation
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Once you have Julia [installed on your computer](https://julialang.org/install/) you can access the package management system from the REPL by typing `]`. From there you can install `TabularRL.jl` with the command: `add https://github.com/jekyllstein/Reinforcement-Learning-Sutton-Barto-Exercise-Solutions\TabularRL.jl`. If you do not want to add this package to your main environment, then activate a temporary one and add the package there. Below is an example of installing the package into a temporary environment from the REPL
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Both methods require you to [install julia](https://julialang.org/install/) on your computer. Julia should then be accessible in your shell environment with the commmand `julia`. Using this command will open the REPL, an example of which is shown in the first method below.
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## Manual Setup in the REPL
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After opening the REPL, you can access the package management system by typing `]`. From there you can install `TabularRL.jl` with the command: `add https://github.com/jekyllstein/Reinforcement-Learning-Sutton-Barto-Exercise-Solutions:TabularRL.jl`. If you do not want to add this package to your main environment, then activate a temporary one and add the package there. Below is an example of installing the package into a temporary environment from the REPL
After the package is installed you can return to normal REPL mode by hitting `backspace` and then enter the command `using TabularRL`
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"""
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# ╔═╡ ed741cb4-32c1-4287-8368-6835e94d3496
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# ╔═╡ 12d83219-d470-40e9-8bee-a3db0b2bd2a8
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md"""
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```julia
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julia> states = 1:10
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julia> using TabularRL
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```
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"""
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# ╔═╡ 761318f2-095b-4e3f-a320-061e9f50f166
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md"""
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## Automatic Setup in Notebooks
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Alternatively, you can clone the entire reinforcement learning exercise repository and have access to every notebook and package contained therein. Check to see if you have `git` installed on your computer with `git --version`. If you receive an error message or do not see a version number then [install git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git).
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Clone the repository to your system inside a directory where you have read/write access:
Navigate inside of the repository directory where you should find the following shell scripts: `setup.sh`, `start.sh`, `update.sh`. Note that you may need to make these files executable with
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```shell
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> chmod +x setup.sh```
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```
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You can begin by running the start shell script which will automatically run the setup script if this is your first time using the repository:
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```shell
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> ./start.sh
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```
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After some precompilation and setup, you should see the following at the bottom of the terminal:
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```julia
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[ Info: Loading...
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┌ Info:
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└ Go to http://localhost:1234/?secret=3Ah66MkG in your browser to start writing ~ have fun!
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┌ Info:
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│ Press Ctrl+C in this terminal to stop Pluto
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```
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However, note that the secret and port number may differ on your system. The URL that contains `localhost` is what you should copy into your web browser to see the Pluto welcome screen.
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"""
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# ╔═╡ 1519dfbc-e593-4f1e-9b09-9af8157b04b8
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md"""
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"""
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# ╔═╡ 418687b7-73f4-476d-8eeb-9791830f44e3
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md"""
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If you click in the text box under `Open a notebook` a navigation menu will appear that shows the directory structure. If you open any of the `Chapter...` folders, you will see notebook files which can be opened and used interactively. For our purposes, however, we will open a template notebook which loads all of the required tools. This notebook is contained at `Examples/template.jl` and can be opened from the text box (see below).
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"""
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# ╔═╡ 20ebb844-bde2-41fd-a512-d62991e2f6d0
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md"""
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By default, the notebook will open in a preview mode (see below). Click `Run notebook code` at the top to run the notebook and have access to all the tools. From there you can add cells to the notebook and enter commands in them just like you would in the REPL. The code examples which follow can work either in the REPL or the notebook.
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