Unverified50% confidenceFactExact time
Partially observable environments correspond to Partially Observable Markov Decision Processes (POMDPs), which are computationally far more difficult than fully observable Markov Decision Processes (MDPs).
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9/8/2026
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UnverifiedPOMDPs are computationally far more difficult than fully observable MDPs, because the agent needs to maintain a belief distribution over hidden states.79% similarUnverified雅可比透镜在MoE上应用需处理路由决策的不可微性（通常通过straight-through estimator近似），技术难度显著高于Dense模型68% similarUnverifiedPOMDP的转移概率、观测模型、奖励函数参数一旦估计失准，求解出的最优策略可能不如保守的阈值规则可靠，对初学者小项目而言存在过度工程风险68% similarUnverifiedQMDP是最简单的近似求解方法，假设不确定性在下一步就会消失，将POMDP降级为多个MDP的加权和，计算快但在需要主动信息收集的场景中表现不佳63% similarUnverifiedThe larger the model, the more dispersed the safety alignment behavioral distribution is in the weight space, and the greater the difficulty of precisely removing it.63% similar
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