Unverified50% confidenceSolutionExact time
MCTS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
1
Sources
50%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
UnverifiedInformation Set MCTS (IS-MCTS) samples hidden information at each simulation (determinization), temporarily converting the imperfect-information problem into a series of perfect-information sub-problems to be solved.69% similarUnverified纯LLM探索模式在确定性任务上成功率难以保障,因每次推理存在随机性66% similarUnverifiedExcessive domain randomization can cause policies to become overly conservative, and certain real-world phenomena (such as deformation of flexible objects) are difficult to cover through simple parameter randomization.66% similarUnverified普通自编码器学到的潜在空间往往不连续、不规整,无法用于随机采样生成有意义的新数据66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/565524API
curl https://kongchang.com/api/v1/knowledge/claims/565524MCP
get_claim(id=565524)