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If you're creating a completely new environment, create a directory in
bsuite/environmentswith:<env>.py.<env>.pyshould define a new env_class which should be a subclass ofbsuite.environments.base.Environment(and it should return appropriate info inbsuite_info()). -
Create directory in
bsuite/experimentswith:<exp>.py,sweep.py,analysis.py,__init__.py,<exp>_test.py.<exp>.py: Needs to import the environment used for the experiment that is defined inbsuite/environments/<env>.pyand define a load variable in the file that is equal to<env_class, i.e.,load = <env>.<env_class>sweep.py: Needs to have the parameters that vary for the experiment. e.g.,seedandnoise_scaleforcartpole_noise. Each set of parameters is stored as a dict in a tuple namedSETTINGS. This file also definesNUM_EPISODESandTAGS(such ascredit_assignment,basic,exploration, etc.). InTAGS, the 1st tag should be one of the basic "types" fromsummary_analysis.py:['basic', 'noise', 'scale', 'exploration', 'credit_assignment', 'memory', 'mdp_playground']. NOTE: Remember to add a comma after the tag inTAGSif there is only 1 tag, because the comma is what makes it a tuple in Python.analysis.py: Needs to definescore(),plot_learning(),plot_seeds()(and possibly other functions likeplot_average) that will be used bybsuite/analysis/results.ipynbto analyse and plot recorded data.
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bsuite/bsuite.py,bsuite/sweep.py,bsuite/experiments/summary_analysis.pyandbsuite/analysis/results.ipynbneed to be modified for each new experiment added. We need to add code lines specific to the new experiment, e.g.,from bsuite.experiments.<exp> import ....