Unverified50% confidenceFactExact time
In games like Slay the Spire 2, MCTS faces two major challenges: random events make the tree's branching factor extremely large, and a single simulation requires fully simulating an entire combat, making computation costly.
1
Sources
50%
Confidence
Long-term
Relevance
11/2/2026
First Seen
Sources
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Related Claims
UnverifiedMonte Carlo tree search (MCTS) estimates action values through large numbers of random simulations and is naturally suited to scenarios with uncertain outcomes.68% similarUnverifiedMCTS has a large computational overhead, requiring a large number of simulations for each decision, so it may be limited in scenarios with high real-time requirements, and the community view is that it is better suited to offline planning or problems with low simulation cost.64% similarUnverifiedMCTS无需对状态空间精确建模，而是通过采样近似期望收益，天然适应不完美信息随机博弈场景62% similarUnverifiedPokémon battles contain probabilistic elements, reflected in random events such as move accuracy, critical hits, and status condition triggers.60% similarUnverifiedClassical causal discovery methods such as the PC algorithm and FCI algorithm face the dual challenges of combinatorial explosion and insufficient samples in high-dimensional state spaces.60% similar
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