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E. Escudie

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#artificial intelligence Preprint Oct 2026

Conservative Policy Iteration For Zero-Sum POSGs

An approximate policy-iteration algorithm for finite-horizon zs-POSGs that alternates local policy improvements, conservative updates, and persistent exploration and is competitive at small horizons and often improves the runtime-exploitability trade-off at larger horizons compared with PBVI, HSVI, and CFR+.

E. Escudie, M. Sabatelli, J. Dibangoye · 0 citations

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