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* Refactor rollout logic. Allow multiple sampling in one epoch, so that we can generate more data for training. AC & PPO for continuous action policy; refine AC & PPO logic. Cherry pick RL changes from GYM-DDPG Cherry pick RL changes from GYM-SAC Minor error in doc string * Add min_n_sample in template and parser * Resolve PR comments. Fix a minor issue in SAC.
* CIM passed * Update workers * Refine annotations * VM passed * Code formatting. * Minor import loop issue * Pass batch in PPO again * Remove Scenario * Complete docs * Minor * Remove segment * Optimize logic in RLComponentBundle * Resolve PR comments * Move 'post methods from RLComponenetBundle to EnvSampler
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Jinyu-W
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May 17, 2022
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| class MyQNet(DiscreteQNet): |
Jinyu-W
reviewed
May 17, 2022
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Description
RLComponentBundle.Most changes in this PR is RL related updates that are not related to SC scenario. We could only pay attention to:
maro\rl\rl_component\rl_component_bundle.pymaro\rl\training\training_manager.pyexamples\supply_chain\Linked issue(s)/Pull request(s)
Type of Change
Related Component
Has Been Tested
Needs Follow Up Actions
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