rlwray:使用RAY进行强化学习

时间:2021-02-17 14:00:38
【文件属性】:
文件名称:rlwray:使用RAY进行强化学习
文件大小:12.66MB
文件格式:ZIP
更新时间:2021-02-17 14:00:38
JupyterNotebook 用RAY进行强化学习 同步软演员评论家
【文件预览】:
rlwray-master
----.gitignore(2KB)
----README.md(68B)
----code()
--------main_SAC_ADT_cont_config_b.ipynb(17KB)
--------demo_RLwRay_07_ARS_ADT_CustomADTEnvDiscrete.ipynb(25KB)
--------demo_RLwRay_06_ARS_ADT_CustomADTEnvContinuous.ipynb(24KB)
--------demo_PyBullet_02_PPO_AntBullet_Explained.ipynb(38KB)
--------demo_RLwRay_03_PPO_PyBulletAnt.ipynb(40KB)
--------main_report_summarize.ipynb(84KB)
--------main_ARS_ADT_cont_evaluation.ipynb(8KB)
--------demo_RLwRay_05_ARS_PyBulletAnt.ipynb(15KB)
--------main_SAC_ADT_cont_config_a.ipynb(14KB)
--------main_SAC_ADT_cont_config_c.ipynb(11KB)
--------main_report_ARS_ADTCont.ipynb(127KB)
--------sac_adt_train.py(18KB)
--------demo_Ray_02_SnycSAC_PyBulletAnt_Explained.ipynb(27KB)
--------util.py(4KB)
--------demo_Ray_01_TF_Worker_Explained.ipynb(14KB)
--------main_report_PPO_ADTCont.ipynb(131KB)
--------demo_PyBullet_01_SAC_AntBullet_Explained.ipynb(45KB)
--------sac.py(10KB)
--------ars.py(3KB)
--------ppo.py(12KB)
--------demo_blank.ipynb(5KB)
--------demo_RLwRay_01_SAC_PyBulletAnt.ipynb(25KB)
--------main_report_SAC_ADTCont.ipynb(140KB)
--------demo_TF_01_save_and_restore_model.ipynb(10KB)
--------main_SAC_ADT_cont_evaluation.ipynb(17KB)
--------demo_RLwRay_04_PPO_ADT_CustomADTEnvContinuous.ipynb(23KB)
--------demo_RLwRay_02_SAC_ADT_CustomADTEnvContinuous.ipynb(24KB)
--------demo_ADT_01_CustomADTEnvContinuous_Usage.ipynb(79KB)
----slide()
--------slide.key(7.94MB)
----vid()
--------SAC_PyBullet_Ant.mp4(2MB)
--------SAC_PyBullet_Ant (encoded).mp4(3.13MB)

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