A PSPACE Algorithm for Almost|Sure Rabin Objectives in Multi ...

A Flexible Toolchain for Symbolic Rabin Games under Fair and ...

Piterman and Pnueli [17] derived the currently best known symbolic algorithm for solving two-player Rabin games over finite graphs with a ...

Stochastic ω-Regular Games by Krishnendu Chatterjee - Irisa

shows that almost-sure and limit-sure winning states of concurrent games with Rabin and. Streett objectives can be computed in EXPTIME. Moreover, the ...

The complexity of Rational Synthesis - Full version - - LACL

in PSpace to obtain optimal algorithms for Streett, Rabin and Muller objectives and fixed ... Then, if the play never go to the node K we are sure that all the ...

Explicit State Model Checking with Generalized Büchi and Rabin ...

We designed a multi-core GRA checking algorithm and performed experiments on a subset of the models and for- mulas from the 2015 Model Checking Contest.

Fast Symbolic Algorithms for Omega-Regular Games under Strong ...

We get symbolic algorithms for (generalized) Rabin, parity, and GR(1) objectives under ... almost sure winning set of Player 0 in the game graph G ...

Stochastic Multiplayer Games: Theory and Algorithms

ity objectives can be represented as a Streett (Rabin) objective. Moreover ... ability objectives in multi-player timed games. In Proceedings of the ...

Quantitative verification and strategy synthesis for stochastic games

... almost-sure reachability properties. Probabilistic LTL. Properties of the ... Such games can be solved by combining the value iteration algorithm for reachability ...

Accordion: Multi-Scale Recipes for Adaptive Detection of Duplication

tional Rabin fingerprinting algorithm [9]. Rabin fingerprinting, which is used by most content- aware systems, scans the file with a Rabin polynomial hash ...

Model checking with generalized Rabin and Fin-less automata

This paper investigates whether using a more general form of acceptance, namely a transition-based generalized Rabin automaton (TGRA), improves the model ...

A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with ...

a memoryless, almost-sure winning strategy for a POMDP. P and reachability objective Reach(T) is NP-complete. The complexity of the almost-sure reachability ...

practical portfolio optimization

Key Words: Portfolio Selection; Robust Optimization; Multi-objective Programming; Evolutionary Algorithms; ... the space of real-valued random variables that ...

Scalable Byzantine agreement with a random beacon - UNM CS

Like many Byzantine agreement algorithms, our algorithms follow the basic struc- ture of Rabin's algorithm [21]: each processor starts with an individual vote; ...

Probably Approximately Correct Learning in Stochastic Games with ...

We first interpret the task requirements as a almost-sure win- ning objective and a discounted-sum objective, encode them as inputs to our algorithm, and then ...

An Efficient Homomorphic Encryption Protocol for Multi-User Systems

Given a plaintext x, the encryption algorithm is. / = " mod ) where ) = 8 = 56. Although Rabin's encryption algorithm is homomorphic in multiplication, it is ...

Improved Algorithms via Approximations of Probability Distributions1

observed that it often suffices if the sample space is almost k-wise independent [32], ... Then the sample space (multi-set) S of all such ~X is. -approximate. If ...

The ONLY Facebook & Instagram Ad Strategy You'll Need In 2024 ...

... space. I'll also walk you through step by step everything you need to ... rabin https://tiktok.com/@austinrabin #Shopifydropshipping ...

An Effective Multi-objective Bald Eagle Search Algorithm for Solving ...

An Effective Multi-objective Bald Eagle Search Algorithm for Solving Engineering Design Problems.

Model-Free Reinforcement Learning for Stochastic Games with ...

goal in this space is to satisfy the Rabin acceptance condition, for which ... III-. B), allowing the use of RL to synthesize controllers. Algorithm 1 summarizes ...

An introduction to randomized algorithms - Northwestern University

Rabin [37] which drew attention to the general concept of a randomized algorithm ... The goal of the algorithm is to keep this set small while capturing ...

Computational Complexity: A Modern Approach - Theory @ Princeton

Computer scientists (e.g., algorithms designers) who do not work in complexity theory per se. They may use the book for self-study or even to teach a graduate ...