Comments (6)
In /home/app/softlearning/softlearning/algorithms/rl_algorithm.py, self.sampler.environment= None
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Thanks for reporting this @qlinsey! I'll try to fix this at some point. Would you mind trying the original SAC reference implementation in the meanwhile?
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Thanks! we will try and let you know if any questions!
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Hey @qlinsey, thanks for the question! In our old repository, we handle the distributions manually and thus have to compensate for squashing of the actions. For details, see e.g. Appendix C in the Soft Actor-Critic Algorithms and Applications paper [1]. In our newer implementations, we implement all the distributions using tensorflow-probability distributions, which handles the squashing for us under the hood when we use the tfp.Tanh-bijector.
Let me know if you have any questions about that!
[1] https://arxiv.org/pdf/1812.05905.pdf
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