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2. Fixed support for -A option (previously not being respected) 3. Ensured Tensorflow is not loaded when using Pytorch 4. Fixed log/results directory to increment instead of defaulting to RUN001 5. Added convergence cutoffs to workflows 6. Fixed/simplified step counting in workflows 7. Added hyper-parameter tuning using sbatch and optuna
…t in send_model method and model_count in sync_learning.py
2. Minor fix to bsuite_batch help message
…C should not be in driver/__main__.py
2. Fixed print and end of run 3. Async convergence call had too many parameters
…to dqn.py. Need to resolve sample weight issue (line 392).
…ad of a beta parameter. Also mentioned other troubling areas in dqn.py using TODOs.
2. Updating analyze reward to match the logs without epsilon 3. Fixing plotille to ignore data before complete roll.
Jodasue
approved these changes
Dec 8, 2022
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update_targetmethod agent specific and not exposed to workflow. It's now used inside the train call.This PR builds off of the develop_sept_22 branch.