DeepMind Researchers Redefine Continual Reinforcement Learning with a Precise Mathematical Definition

Recent advances in deep Reinforcement Learning ( RL ) have demonstrated superhuman performance by artificially intelligent (AI ) agents on a variety of impressive tasks. Current approaches for achieving these results follow developing an agent that primarily learns how to master a narrow task of interest. Untrained agents have to perform these tasks often, and […]

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