Trust Region Policy Optimization · HackerPapers discussions

Trust Region Policy Optimization — mentioned by dpf

Tue, 16 May 2017 01:14:19 GMT

These environments are often used as a testbed for reinforcement learning, e.g. https://arxiv.org/abs/1502.05477

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Trust Region Policy Optimization — mentioned by T-A

Thu, 16 Jun 2016 20:55:55 GMT

For reinforcement learning, one of OpenAI's focus areas, the book by Sutton & Barto is still the standard reference: https://webdocs.cs.ualberta.ca/~sutton/book/the-book.html Improved algorithms have been devised since it was written, see http://karpathy.github.io/2016/05/31/rl/ and, in particular, https://arxiv.org/abs/1502.05477

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Trust Region Policy Optimization — mentioned by dr_zoidberg

Wed, 02 Mar 2016 16:41:21 GMT

Can't edit the parent post anymore, but here I found the one interesting thing I got from reading this. The Trust Region Policy Optimization paper, barely mentioned in the article: http://arxiv.org/pdf/1502.05477v3.pdf

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Trust Region Policy Optimization — mentioned by dr_zoidberg

Wed, 02 Mar 2016 16:39:43 GMT

See in the paper[0] Figure 3 near the end shows the neural networks used for the different scenarios. None of them have a "confidence" input or parameter. As for confidence intervals, that's why I made the distinction originally, the word is not being used in the "formal" sense, but in the emotional sense. [0] http://arxiv.org/pdf/1502.05477v3.pdf

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