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- W4287550848 abstract "Many non-trivial sequential decision-making problems are efficiently solved by relying on Bellman's optimality principle, i.e., exploiting the fact that sub-problems are nested recursively within the original problem. Here we show how it can apply to (infinite horizon) 2-player zero-sum partially observable stochastic games (zs-POSGs) by (i) taking a central planner's viewpoint, which can only reason on a sufficient statistic called occupancy state, and (ii) turning such problems into zero-sum occupancy Markov games (zs-OMGs). Then, exploiting the Lipschitz-continuity of the value function in occupancy space, one can derive a version of the HSVI algorithm (Heuristic Search Value Iteration) that provably finds an $epsilon$-Nash equilibrium in finite time." @default.
- W4287550848 created "2022-07-25" @default.
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- W4287550848 date "2020-12-18" @default.
- W4287550848 modified "2023-09-30" @default.
- W4287550848 title "On Bellman's Optimality Principle for zs-POSGs" @default.
- W4287550848 hasPublicationYear "2020" @default.
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