Simulatr provides a [gymnasium](https://gymnasium.farama.org/) environment for reinforcement learning using different simulators including:
[ApsimX](https://docs.apsim.info/)
# Installation
Simulatr can be installed via pip or pixi can be utilized
` pip install -e . `
In addition to installing the gym, you will also need to install the simulators you wish to run.
# Simulator installation
Simulatr will install the required simulators automatically, but you can also install the simulators yourself via the simulatr CLI before running a simulator
` python -m simulatr install apsimx `
# Running a simulator
## Running to completion
` python -m simulatr run apsimx --crop-name wheat --from-example `
## Running interactively
` python -m simulatr run apsimx --crop-name wheat --from-example --timestep=10 # days `
Additional documentation can be found [here](https://langmm.github.io/simulatr/),
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0.0.1 (????-??-??)
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