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Your setting (of randomly dropping out reward signals) impacts expected future reward by multiply everything by a common factor $(1-\epsilon)$. As reinforcement learning (RL) control is based on maximising expected future reward, and multiplying by a positive constant does not affect ranking of action values, all existing RL methods will cope just fine ...

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