Q-Learning for Reachability in MEC-Free MDPs
Reinforcement learning (RL) for reachability specifications is fundamental to sequential decision-making. Prior work establishes asymptotic convergence to optimal policies, but only through model-based methods that must explicitly estimate the transition probabilities of the underlying Markov Decision Process (MDP). We...
Lu-Chin Chang, Suguman Bansal
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