
The authors present convergence theorems for Q-learning under non-Markovian environments, discussing implications and applications to various stochastic control problems.


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Q-Learning-for-Stochastic-Control-under-General-Information-Structures-and-Non-Markovian-Environments-Convergence-Theorems-and-Applications


Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments: Convergence Theorems and Applications
