ReinforcementLearning.jl, as the name says, is a package for reinforcement learning research in Julia.
Our design principles are:
julia> ] add ReinforcementLearning julia> using ReinforcementLearning julia> run( RandomPolicy(), CartPoleEnv(), StopAfterNSteps(1_000), TotalRewardPerEpisode() )
The above simple example demonstrates four core components in a general reinforcement learning experiment:
Policy. The
RandomPolicy
is the simplest instance of
AbstractPolicy.
It generates a random action at each step.
Environment. The
CartPoleEnv
is a typical
AbstractEnv
to test reinforcement learning algorithms.
Stop Condition. The
StopAfterNSteps(1_000)
is to inform that our experiment should stop after
1_000 steps.
Hook. The
TotalRewardPerEpisode
structure is one of the most common
AbstractHooks.
It is used to collect the total reward of each episode in an experiment.
Check out the tutorial page to learn how these four components are assembled together to solve many interesting problems. We also write blog occasionally to explain the implementation details of some algorithms. Among them, the most recommended one is An Introduction to ReinforcementLearning.jl, which explains the design idea of this package.
[TODO:]
[TODO:]
-->
<!-- ``` -->ReinforcementLearning.jl itself is just a wrapper around several other
subpackages. The relationship between them is depicted below:
Are you looking for help with ReinforcementLearning.jl? Here are ways to find help:
ReinforcementLearning.jl is a MIT licensed open source project with its
ongoing development made possible by many contributors in their spare time.
However, modern reinforcement learning research requires huge computing
resource, which is unaffordable for individual contributors. So if you or your
organization could provide the computing resource in some degree and would like
to cooperate in some way, please contact us!
This package is written in pure Julia. Please consider supporting the JuliaLang org if you find this package useful. ❤
If you use ReinforcementLearning.jl in a scientific publication, we would
appreciate references to the CITATION.bib.
Thanks goes to these wonderful people (emoji key):
<!-- ```@raw html --> <!-- cSpell:disable --> <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section --> <!-- prettier-ignore-start --> <!-- markdownlint-disable --> <table> <tr> <td align="center"><a href="http://lcn.epfl.ch/~brea/"><img src="https://avatars.githubusercontent.com/u/12857162?v=4?s=100" width="100px;" alt=""/><br /><sub><b>jbrea</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=jbrea" title="Code">💻</a> <a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=jbrea" title="Documentation">📖</a> <a href="#maintenance-jbrea" title="Maintenance">🚧</a></td> <td align="center"><a href="https://tianjun.me/"><img src="https://avatars.githubusercontent.com/u/5612003?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Jun Tian</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=findmyway" title="Code">💻</a> <a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=findmyway" title="Documentation">📖</a> <a href="#maintenance-findmyway" title="Maintenance">🚧</a> <a href="#ideas-findmyway" title="Ideas, Planning, & Feedback">🤔</a></td> <td align="center"><a href="https://github.com/amanbh"><img src="https://avatars.githubusercontent.com/u/911313?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Aman Bhatia</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=amanbh" title="Documentation">📖</a></td> <td align="center"><a href="https://avt.im/"><img src="https://avatars.githubusercontent.com/u/4722472?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Alexander Terenin</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=aterenin" title="Code">💻</a></td> <td align="center"><a href="https://github.com/Sid-Bhatia-0"><img src="https://avatars.githubusercontent.com/u/32610387?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Sid-Bhatia-0</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=Sid-Bhatia-0" title="Code">💻</a></td> <td align="center"><a href="https://github.com/norci"><img src="https://avatars.githubusercontent.com/u/2986988?v=4?s=100" width="100px;" alt=""/><br /><sub><b>norci</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=norci" title="Code">💻</a> <a href="#maintenance-norci" title="Maintenance">🚧</a></td> <td align="center"><a href="https://github.com/sriram13m"><img src="https://avatars.githubusercontent.com/u/28051516?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Sriram</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=sriram13m" title="Code">💻</a></td> </tr> <tr> <td align="center"><a href="https://github.com/gpavanb1"><img src="https://avatars.githubusercontent.com/u/50511632?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Pavan B Govindaraju</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=gpavanb1" title="Code">💻</a></td> <td align="center"><a href="https://github.com/AlexLewandowski"><img src="https://avatars.githubusercontent.com/u/15149466?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Alex Lewandowski</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=AlexLewandowski" title="Code">💻</a></td> <td align="center"><a href="https://github.com/RajGhugare19"><img src="https://avatars.githubusercontent.com/u/62653460?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Raj Ghugare</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=RajGhugare19" title="Code">💻</a></td> <td align="center"><a href="https://github.com/rbange"><img src="https://avatars.githubusercontent.com/u/13252574?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Roman Bange</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=rbange" title="Code">💻</a></td> <td align="center"><a href="https://github.com/felixchalumeau"><img src="https://avatars.githubusercontent.com/u/49362657?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Felix Chalumeau</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=felixchalumeau" title="Code">💻</a></td> <td align="center"><a href="https://github.com/rishabhvarshney14"><img src="https://avatars.githubusercontent.com/u/53183977?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Rishabh Varshney</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=rishabhvarshney14" title="Code">💻</a></td> <td align="center"><a href="https://github.com/zsunberg"><img src="https://avatars.githubusercontent.com/u/4240491?v=4?s=100" width="100px;" alt=""/><br /><sub><b>Zachary Sunberg</b></sub></a><br /><a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=zsunberg" title="Code">💻</a> <a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/commits?author=zsunberg" title="Documentation">📖</a> <a href="#maintenance-zsunberg" title="Maintenance">🚧</a> <a href="#ideas-zsunberg" title="Ideas, Planning, & Feedback">🤔</a></td> </tr> <tr> <td align="center"><a href="https://www.cs.cmu.edu/~jlaurent/"><img

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