Refine RL workflow & tune RL models under GYM#577
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Co-authored-by: Jinyu Wang <[email protected]>
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## v0.3 #577 +/- ##
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Coverage 79.30% 79.30%
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Files 86 86
Lines 5464 5464
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Hits 4333 4333
Misses 1131 1131
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* remove useless files; add device mapping; update pdoc * add default checkpoint path; fix distributed worker log path issue; update example log path * update performance doc * remove tests/rl/algorithms folder
Jinyu-W
reviewed
Feb 9, 2023
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| job: cim_rl_workflow | |||
* [wip] compare PPO * PPO matching * Revert unnecessary changes * Minor * Minor
* fix sac to_device issue; update sac gym test parameters * add rl test performance plot func * update sac eval interval config * update sac checkpoint interval config * fix callback issue * update plot func * update plot func * update plot func * update performance doc; upload performance images * Minor fix in callbacks; refine plot.py format. * Add n_interactions. Use n_interactions to plot curves. * pre-commit --------- Co-authored-by: Huoran Li <[email protected]> Co-authored-by: Huoran Li <[email protected]>
* Add truncated logic * (To be tested) early stop * Early stop test passed * Test passed * Random action. To be tested. * Warmup OK * Pre-commit * random seed * Revert pre-commit config
Jinyu-W
approved these changes
Feb 17, 2023
21 tasks
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Description
num_eval_episodesto control the number of episodes during evaluation.AbsEnvSampler.metrics. Let env samplers use this attribute to manage metrics during rollout.Callback, a generate interface to add customized operations in each phase of the workflow. Add twoCallbackinstances:Checkpoint&MetricsRecorder.Linked issue(s)/Pull request(s)
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