Conditioning a Lifted Stochastic System in a Product Space
نویسندگان
چکیده
منابع مشابه
Stochastic Games on a Product State Space
Stochastic games and product-games. An n-player stochastic game is given by (1) a set of players N = 1 n , (2) a nonempty and finite set of states S, (3) for each state s ∈ S, a nonempty and finite set of actions As for each player i, (4) for each state s ∈ S and each joint action as ∈×i∈N As , a payoff r i s as ∈ to each player i, (5) for each state s ∈ S and each joint action as ∈×i∈N As , a ...
متن کاملA Smart Hybrid System for Parking Space Reservation in VANET
Nowadays, developed and developing countries using smart systems to solve their transportation problems. Parking guidance intelligent systems for finding an available parking space, are considered one of the architectural requirements in transportation. In this paper, we present a parking space reservation method based on adaptive neuro-fuzzy system(ANFIS) and multi-objective genetic algorithm....
متن کاملEmbedding of a 2D Graphene System in Non-Commutative Space
The BFT approach is used to formulate the electronic states in graphene through a non-commutative space in the presence of a constant magnetic field B for the first time. In this regard, we introduce a second class of constrained system, which is not gauge symmetric but by applying BFT method and extending phase space, the second class constraints converts to the first class constraints so th...
متن کاملLifted Conditioning for Pairwise Marginals and Beyond
Lifted belief propagation (LBP) can be extremely fast at computing approximate marginal probability distributions over single variables and neighboring ones in the underlying graphical model. It does, however, not prescribe a way to compute joint distributions over pairs, triples or k-tuples of distant random variables. In this paper, we present an algorithm, called conditioned LBP, for approxi...
متن کاملStochastic Planning and Lifted Inference
Lifted probabilistic inference (Poole, 2003) and symbolic dynamic programming for lifted stochastic planning (Boutilier et al, 2001) were introduced around the same time as algorithmic efforts to use abstraction in stochastic systems. Over the years, these ideas evolved into two distinct lines of research, each supported by a rich literature. Lifted probabilistic inference focused on efficient ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Annals of Probability
سال: 1988
ISSN: 0091-1798
DOI: 10.1214/aop/1176991601