Universal Algorithms for Parity Games and Nested Fixpoints
January 13, 2020 Β· Declared Dead Β· π Principles of Systems Design
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Marcin JurdziΕski, RΓ©mi Morvan, K. S. Thejaswini
arXiv ID
2001.04333
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.FL,
cs.GT,
cs.LO
Citations
8
Venue
Principles of Systems Design
Last Checked
4 months ago
Abstract
An attractor decomposition meta-algorithm for solving parity games is given that generalises the classic McNaughton-Zielonka algorithm and its recent quasi-polynomial variants due to Parys (2019), and to Lehtinen, Schewe, and Wojtczak (2019). The central concepts studied and exploited are attractor decompositions of dominia in parity games and the ordered trees that describe the inductive structure of attractor decompositions. The universal algorithm yields McNaughton-Zielonka, Parys, and Lehtinen-Schewe-Wojtczak algorithms as special cases when suitable universal trees are given to it as inputs. The main technical results provide a unified proof of correctness and structural insights into those algorithms. Suitably adapting the universal algorithm for parity games to fixpoint games gives a quasi-polynomial time algorithm to compute nested fixpoints over finite complete lattices. The universal algorithms for parity games and nested fixpoints can be implemented symbolically. It is shown how this can be done with $O(\lg d)$ symbolic space complexity, improving the $O(d \lg n)$ symbolic space complexity achieved by Chatterjee, DvoΕΓ‘k, Henzinger, and Svozil (2018) for parity games, where $n$ is the number of vertices and $d$ is the number of distinct priorities in a parity game.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Data Structures & Algorithms
π
π
The Cartographer
R.I.P.
π»
Ghosted
Route Planning in Transportation Networks
R.I.P.
π»
Ghosted
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
R.I.P.
π»
Ghosted
Hierarchical Clustering: Objective Functions and Algorithms
R.I.P.
π»
Ghosted
Graph Isomorphism in Quasipolynomial Time
π
π
The Cartographer
Simulation optimization: A review of algorithms and applications
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted