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Reinforcement Learning under External Influence: Guarantees, Algorithms, and Sample Complexity
In this paper, we study the problem of reinforcement learning under the influence of external events. For this, we consider Markov decision processes with continuous state and action spaces whose transition dynamics are perturbed by an external process in a non-Markovian manner. First, we establish
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