Publication

Alpaga: A Tool for Solving Parity Games with Imperfect Information

Laurent Doyen
2009
Report or working paper

Abstract

Alpaga is a solver for two-player parity games with imperfect information. Given the description of a game, it determines whether the first player can ensure to win and, if so, it constructs a winning strategy. The tool provides a symbolic implementation of a recent algorithm based on antichains.

Official source

https://infoscience.epfl.ch/record/130681?ln=en

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Alpaga: A Tool for Solving Parity Games with Imperfect Information

Graph Chatbot

Chat with Graph Search

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

Imputation of missing information in worldwide patent data

Pareto-like sequential sampling heuristic for global optimisation

Imputation of missing information in worldwide patent data

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

Pareto-like sequential sampling heuristic for global optimisation