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Sparse Reward Environments #5
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We haven't tried spare-reward environments with the vanilla SAC. My intuition is that it will not work any better than other RL algorithms with Gaussian/Boltzmann exploration because of lack of temporal correlation in the exploration noise. |
Gotcha; that's what we seem to be seeing, but just wanted to make sure! |
Could you clarify what you mean by temporal correlation in the exploration noise? Thanks. |
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Did you happen to see SAC's performance on sparse-reward environments?
I know the DIAYN paper trained on sparse rewards, but I was wondering if vanilla SAC (in your expts) had any luck solving things like Continuous MountainCar.
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