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##MORE##How to fulfill safety constraints Just about undoubtedly (or with chance one) is becoming an emerging investigation issue for Harmless reinforcement Understanding (RL) algorithms in protection-essential domains. As an illustration, self-driving vehicles are expected making sure that the driving tactic they adopt won't ever do harm to pedest

##MORE##The aptitude of consistently Mastering new abilities via a sequence of pre-collected offline datasets is sought after for an agent. However, consecutively Mastering a sequence of offline tasks possible results in the catastrophic forgetting issue less than source-minimal scenarios. In this paper, we formulate a fresh location, continual o