[Feature] resume aim after iterruption (#162)

* Remove sub-dependencies from requirements. Specify minimum versions of core dependencies. * Change the frequency of Tensorboard logging to every `num_log_iter` iterations. * Format `algorithmbase.py` according to standard PEP-8 style guidelines. * Resume Aim tracking (if applicable) when resuming training. * Update the Change log. * Change the frequency of Tensorboard logging to every `num_log_iter` iterations. * Format `algorithmbase.py` according to standard PEP-8 style guidelines. * Resume Aim tracking (if applicable) when resuming training. * Update the Change log. * Remove changes from other PR. --------- Co-authored-by: Adam Tupper <adam.tupper@outlook.com>
microsoft · Sep 18, 2023 · b059792 · b059792
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diff --git a/CHANGE_LOG.md b/CHANGE_LOG.md
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 # Change Log
 
+* Aim tracking now resumes tracking the same run when resuming training.
 * Simplified and improved the flexibility of the dependencies.
 * Fixes hard-coded repository path for Aim experiment tracking.