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Approximate Solution of Infinite-horizon Risk-sensitive Markov Decision Processes

It is shown that the approximate value functions obtained by value iteration and LP asymptotically converge to the optimal value function, and the policies generated by policy iteration converge in value to an optimal policy.

J. Zhang, Saumya Sinha, Mehdi Hemmati et al. · 0 citations

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