Multiple-environment Markov decision processes (MEMDPs) equip an MDP with several probabilistic transition functions (one per possible environment) so that the state is observable but the environment is not. Previous work studies two semantics: (i) the universal semantics, where an adversary picks the environment; and (ii) the prior semantics, where the environment is drawn once before execution from a fixed distribution. We clarify the relation between these semantics. For parity objectives, we show that the qualitative questions, i.e. value one, coincide, and we develop a new algorithm for the general value of MEMDP with prior semantics. In particular, we show that the prior value of an MEMDP with a parity objective can be approximated to any precision with a space efficient algorithm; equivalently, the associated gap problem is decidable in PSPACE when probabilities are given in unary (and in EXPSPACE otherwise). We then prove that the universal value equals the infimum of prior values over all beliefs. This yields a new algorithm for the universal gap problem with the same complexity (PSPACE for unary probabilities, EXPSPACE in general), improving on earlier doubly-exponential-space procedures. Finally, we observe that MEMDPs under the prior semantics form an important tractable subclass of POMDPs: our algorithms exploit the fact that belief entropy never increases, and we establish that any POMDP with this property reduces effectively to a prior-MEMDP, showing that prior-MEMDPs capture a broad and practically relevant subclass of POMDPs.
翻译:多环境马尔可夫决策过程(MEMDP)为MDP配备了多个概率转移函数(每个可能环境对应一个),使得状态可观测而环境不可观测。先前的研究探讨了两种语义:(i)通用语义,由对手选择环境;(ii)先验语义,环境在执行前从固定分布中抽取一次。我们厘清了这两种语义之间的关系。针对奇偶性目标,我们证明定性问题(即值为一)是等价的,并为具有先验语义的MEMDP的一般值开发了一种新算法。特别地,我们证明了具有奇偶性目标的MEMDP的先验值可通过空间高效算法以任意精度逼近;等价地,当概率以一元形式给出时,相关的间隙问题可在PSPACE内判定(否则在EXPSPACE内)。随后,我们证明通用值等于所有信念下先验值的下确界。这为通用间隙问题提供了一种具有相同复杂度(一元概率时为PSPACE,一般情况为EXPSPACE)的新算法,改进了先前需要双指数空间的过程。最后,我们指出先验语义下的MEMDP构成了部分可观测马尔可夫决策过程(POMDP)的一个重要易处理子类:我们的算法利用了信念熵永不增加的特性,并证明任何具有此性质的POMDP均可有效约简为先验MEMDP,这表明先验MEMDP涵盖了POMDP中广泛且具有实际意义的子类。