Reachability Analysis in Stochastic Directed Graphs by Reinforcement Learning
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DOI: 10.1109/tac.2022.3143080
Abstract: We characterize the reachability probabilities in stochastic directed graphs by means of reinforcement learning methods. In particular, we show that the dynamics of the transition probabilities in a stochastic digraph can be modeled via a… read more here.
Keywords: reinforcement learning; stochastic directed; reachability analysis; directed graphs ... See more keywords