Regularized agent-state-based Q-learning converges almost surely to the fixed point of a regularized MDP induced by the behavioral policy.
Approximate information state for approximate planning and reinforcement learning in partially observed systems,
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Convergence of regularized agent-state-based Q-learning in POMDPs
Regularized agent-state-based Q-learning converges almost surely to the fixed point of a regularized MDP induced by the behavioral policy.