Lester Dubins and Leonard Savage posed the question as to what extent the optimal reward function U of a leavable gambling problem varies continuously in the gambling house Γ, which specifies the stochastic processes available to a player, and the utility function u, which determines the payoff for each process. Here a distance is defined for measurable houses with a Borel state space and a bounded Borel measurable utility. A trivial example shows that the mapping Γ ↦ U is not always continuous for fixed u. However, it is lower semicontinuous in the sense that, if Γ n converges to Γ, then lim inf U n ≥ U. The mapping u ↦ U is continuous in the supnorm topology for fixed Γ, but is not always continuous in the topology of uniform convergence ...
We establish uniform continuity of the value for zero-sum games with di¤erential information, when t...
International audienceWe study long-term Markov Decision Processes and Gambling Houses, with applica...
International audienceWe study long-term Markov Decision Processes and Gambling Houses, with applica...
In this section we relax the continuity requirement in Theorem 2 to a condition we call quasi-contin...
In several standard models of dynamic programming (gambling houses, MDPs, POMDPs), we prove the exis...
In several standard models of dynamic programming (gambling houses, Markov decision processes (MDPs)...
In several standard models of dynamic programming (gambling houses, MDPs, POMDPs), we prove the exis...
In several standard models of dynamic programming (gambling houses, MDPs, POMDPs), we prove the exis...
In several standard models of dynamic programming (gambling houses, MDPs, POMDPs), we prove the exis...
In several standard models of dynamic programming (gambling houses, Markov decision processes (MDPs)...
In several standard models of dynamic programming (gambling houses, Markov decision processes (MDPs)...
In several standard models of dynamic programming (gambling houses, Markov decision processes (MDPs)...
In several standard models of dynamic programming (gambling houses, Markov decision processes (MDPs)...
We establish uniform continuity of the value for zero-sum games with di¤erential information, when t...
International audienceWe study long-term Markov Decision Processes and Gambling Houses, with applica...
We establish uniform continuity of the value for zero-sum games with di¤erential information, when t...
International audienceWe study long-term Markov Decision Processes and Gambling Houses, with applica...
International audienceWe study long-term Markov Decision Processes and Gambling Houses, with applica...
In this section we relax the continuity requirement in Theorem 2 to a condition we call quasi-contin...
In several standard models of dynamic programming (gambling houses, MDPs, POMDPs), we prove the exis...
In several standard models of dynamic programming (gambling houses, Markov decision processes (MDPs)...
In several standard models of dynamic programming (gambling houses, MDPs, POMDPs), we prove the exis...
In several standard models of dynamic programming (gambling houses, MDPs, POMDPs), we prove the exis...
In several standard models of dynamic programming (gambling houses, MDPs, POMDPs), we prove the exis...
In several standard models of dynamic programming (gambling houses, Markov decision processes (MDPs)...
In several standard models of dynamic programming (gambling houses, Markov decision processes (MDPs)...
In several standard models of dynamic programming (gambling houses, Markov decision processes (MDPs)...
In several standard models of dynamic programming (gambling houses, Markov decision processes (MDPs)...
We establish uniform continuity of the value for zero-sum games with di¤erential information, when t...
International audienceWe study long-term Markov Decision Processes and Gambling Houses, with applica...
We establish uniform continuity of the value for zero-sum games with di¤erential information, when t...
International audienceWe study long-term Markov Decision Processes and Gambling Houses, with applica...
International audienceWe study long-term Markov Decision Processes and Gambling Houses, with applica...