Unverified50% confidenceCautionExact time
This equivalence is currently established in the multi-armed bandit rather than the full MDP setting, so the conclusions mainly apply to static or approximately static decision problems.
1
Sources
50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
Sources
Related Entities
Related Claims
Unverified马尔可夫决策过程（MDP）为智能体的感知—决策—执行闭环提供了数学框架71% similarUnverifiedSuch long-horizon problems are typically modeled through Markov Decision Processes (MDP) or partially observable MDPs in traditional AI research70% similarUnverifiedDuring MDM generation, the conditional distribution at each position can be computed simultaneously, which naturally supports parallel decoding, in sharp contrast to the way autoregressive models generate tokens one by one.67% similarVerifiedAlthough LLMs do not directly output normalized probability vectors, decision confidence can be approximately estimated through various engineering methods.66% similarUnverifiedFor multiple-choice questions, the logits over each option token can be normalized via softmax to obtain a probability distribution, where a highly concentrated distribution indicates the model is more confident in the answer66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1091992API
curl https://kongchang.com/api/v1/knowledge/claims/1091992MCP
get_claim(id=1091992)