GSS replaces tree-based MCTS with shared successor state layers and SNIS backups, proving polynomial horizon sample complexity under density overlap conditions.
Poly-hoot: Monte-carlo planning in continuous space mdps with non-asymptotic analysis
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Graph Sparse Sampling: Breaking the Curse of the Horizon in Continuous MDP Planning
GSS replaces tree-based MCTS with shared successor state layers and SNIS backups, proving polynomial horizon sample complexity under density overlap conditions.