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P175中介绍PPO是off-policy的,并通过off-policy中的importance-sampling方法推导PPO的算法,但OpenAI中关于PPO的介绍是on-policy的,推导是TRPO的一阶求解方法。(具体详见:https://spinningup.openai.com/en/latest/algorithms/ppo.html)
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Takes data from Data Processor, creates inputs (eg embeds battles), values and trains models w/ parameters. Needs to scale to ESCHER. Blocked on embedder and data processor
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Hi All,
I would like to implement in LibRecommender BPR with Importance Sampling.
- http://staff.ustc.edu.cn/~liandefu/paper/pris.pdf
I have already modified the Sampling function.
What should i …
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Importance sampling are used in large scale (N)ES so that samples from previous generation can be reused, thus improving sample efficiency and reducing sample evaluation time. Can we have a function t…
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In the example for RNaD, the importance sampling correction for get_loss_nerd is 1. This is because the example provided is the on-policy case, and there are synchronous updates of the policy between …
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Hi all,
I just re-tried using the importance sampler (option MCcontrol in MakeADFun, via internal function MC()), and see that it now reports the standard error of sampling -- very useful! Thank you…
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Dear authors,
I wonder how the test-time sampling from Bernoulli (as reported in *Explanation Generation* section, page 11751) is actually implemented.
Checking the code ([here](https://github.com…
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Thank you for the latest version of the code release. When I actually trained and used different sampling strategies, I found that the effect of pyramid sampling is not as good as full_sequence_sampli…
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## 一言でいうと
Annealed importance sampling (AIS)とHamiltonian Monte Carlo (HMC)を合体させた手法(Differentiable AIS, DAIS)を提案することで、AISによる周辺尤度の推定量が微分不可能となる問題を回避した。
### 論文リンク
[https://proceedings.neurips.cc/pape…
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Hello!
PyMultinest is running fine on my Mac laptop. However, when I try enabling MPI, I'm getting some problems. Running the pymultinest_demo_minimal.py script results in the following:
bash-3.2$ m…