most citedMarkov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 3 cited

Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes

Alessandro Ronca, Gabriel Paludo Licks, Giuseppe De Giacomo

Our work aims at developing reinforcement learning algorithms that do not rely on the Markov assumption. We consider the class of Non-Markov Decision Processes where histories can…