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## 一言でいうと
Policy gradientは様々なタスクで利用されているが、戦略の更新幅の設定が難しく、小さいと収束が遅くなり大きいと学習が破綻する問題があった。そこで、TRPOという更新前後の戦略分布の距離を制約にするモデルをベースに、より計算を簡略化したPPOという手法を開発した。
### 論文リンク
https://openai-public.s3-us-west-…
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Hi,
Thanks a lot for this extremely useful implementation.
I wanted just to ask what is the ZFilter class, is it used to standardize the observed state according to the running mean and std of t…
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I just noticed a conflict between the OGIP conventions and the FITS standard, which is explicitly commented on in the FITS time paper, which definitions were taken over for the FITS standard version 4…
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现在的数据流程是
1. policy_old = policy
2. 使用policy_old去交互，生成数据
3. 使用数据去更新policy模型
4. policy_old = policy
在这个流程中，policy_old完全没有作用，或者说代码中去掉policy_old，使用policy进行替代，最终的结果完全一致
所以这个真的是PPO么？？
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Hi, I have just installed rllab envirtonment, and I run the example code trpo_cartpole_pickled.py successfully. And get the log file "debug.log params.pkl progress.csv variant.json". And when I am …
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Attempting the spinning up tutorial using windows and wsl2 by following the link given in the installation tutorial.
After setting up conda and wsl2, I made my conda environment, then followed the …
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Edit `examples/tf/trpo_swimmer/ray_sampler.py` to use MultiprocessingSampler and you will get:
```sh
ValueError: Variable GaussianMLPPolicy/GaussianMLPModel/dist_params/mean_network/hidden_0/kerne…
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```
В файле задание на второй релиз.
Пожалуйста, задавайте вопросы, если что
непонятно или с Вашей точки зрения может
иметь различное толкование.
И.Г.
```
Original issue reported on code.google.co…
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Because i want to use ppo2 or trpo to sample a random policy and use gail to imitation learning.
Can you share some idea with me?
Your help will be my great honor.
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Some algorithms use RunningMeanStd object and call update within algorithm (e.g. ddpg, trpo_mpi),
others rely on VecNormalize env wrapper for observation normalization. Also, MPI support for VecNorm…