Including Policy Gradient Techniques about rlpy HOT 6 OPEN

Any updates on Policy Gradient methods? I am considering implementing a human-interpretable policy class in rlpy and Policy Gradient would likely match my needs.

I know this is a mirror of the bitbucket repository, should we comment on the issue there? It is currently closed.

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We don’t have plan for adding policy gradient techniques at the moment, but you should be able to expand the framework to support them.

Best,

Alborz Geramifard
Research Scientist | Amazon Echo
people.csail.mit.edu/agf

On Sep 30, 2015, at 4:43 PM, Sean McGregor [email protected] wrote:

Any updates on Policy Gradient methods? I am considering implementing a human-interpretable policy class in rlpy and Policy Gradient would likely match my needs.

I know this is a mirror of the bitbucket repository https://bitbucket.org/rlpy/rlpy/issues/25/including-policy-gradient-methods, should we comment on the issue there? It is currently closed.

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Reply to this email directly or view it on GitHub #7 (comment).

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Thanks! If my implementation meets rlpy's quality threshold, would you like a pull request?

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Yup.

Best,

Alborz Geramifard
Research Scientist | Amazon Echo
people.csail.mit.edu/agf

On Oct 1, 2015, at 12:02 PM, Sean McGregor [email protected] wrote:

Thanks! If my implementation meets rlpy's quality threshold, would you like a pull request?

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Reply to this email directly or view it on GitHub #7 (comment).

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@smcgregor Any updates on this? I'd like to do policy gradient in rlpy.

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@vladfi1 I think it is unlikely that I will be implementing this anytime soon. I've been running experiments that use probabilistic policies on top of RLPy, but we don't currently need RLPy to optimize the policy parameters.

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