资源论文Constraint Games Revisited

Constraint Games Revisited

2019-10-29 | |  36 |   40 |   0
Abstract Constraint Games are a recent framework proposed to model and solve static games where Constraint Programming is used to express players preferences. In this paper, we rethink their solving technique in terms of constraint propagation by considering players preferences as global constraints. It yields not only a more elegant but also a more effi- cient framework. Our new complete solver is faster than previous state-of-the-art and is able to find all pure Nash equilibria for some problems with 200 players. We also show that performances can greatly be improved for graphical games, allowing some games with 2000 players to be solved.

上一篇:Compact MDDs for Pseudo-Boolean Constraints with At-Most-One Relations in Resource-Constrained Scheduling Problems

下一篇:Convolutional-Match Networks for Question Answering

用户评价
全部评价

热门资源

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to learn...

    The move from hand-designed features to learned...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...