asyml / asyml/texar

Implementing Policy gradient in seqGAN

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question
Dominant language
Python
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Description

Hi,

I want to implement the MC search with roll-out policy in the SeqGAN code here (as described in the [original paper](https://arxiv.org/abs/1609.05473)). My idea was to create a custom Helper that would help implement the roll-out policy. However I found the [SeqPGAgent](https://texar.readthedocs.io/en/latest/code/agents.html#texar.tf.agents.SeqPGAgent) code which seems to be usable here. Can you please advice on whether I can use the SeqPGAgent here to implement this rollout policy? Thanks!

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Research direction

Start with the SeqPGAgent documentation entry point and compare its documented behavior with the SeqGAN rollout policy described in the linked original paper. Then inspect the repository's SeqGAN implementation and determine whether a custom Helper or SeqPGAgent is the appropriate integration point; done means the project has a decided implementation path, not just usage advice.

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Assessment

Tech stack
python, tensorflow
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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