Reinforcement learning2 gabriel #22
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…tory is to have all reinforcement learning related code, and scripts to train and evaluate agents
…or progress of RL experiments
…gin config file, and generates variations changing imporant parameters like time step length, start date and number of days on episode. Also added .bash script to illustrate how to use it
…ntations that were added in previous commits. Changed some default argument values, same for populate_starter_buffer.py script
…visualization module, which this observer uses to plot the graphs
…r of steps instead of episode steps to calculate percentage, leading to > 100% values
… Added saved_model_policy.py file to policies directory -- this file has a class which is used to load and interact with policies saved during training
…eter was redundant with the base_building's time_step_sec
…fore, it was wrongly using the first checkpoint, which gave the untrained agent performance)
s2t2
reviewed
Apr 8, 2025
s2t2
reviewed
Apr 8, 2025
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Fixes #20 (along with other changes)
This PR should be merged AFTER #18 and #19, as it builds on top of them. Consequently, it has the commits from those PRs, as well as new commits on top
The new commits add:
eval.pyscript to evaluate policiesgenerate_gin_config_files.pyscript to generate variations of gin environment config filesvisualizationmodule with features to save plots of evaluation runs to eval resultstd3andddpgagents