DeepAI AI Chat
Log In Sign Up

The Design Of "Stratega": A General Strategy Games Framework

by   Diego Pérez-Liébana, et al.

Stratega, a general strategy games framework, has been designed to foster research on computational intelligence for strategy games. In contrast to other strategy game frameworks, Stratega allows to create a wide variety of turn-based and real-time strategy games using a common API for agent development. While the current version supports the development of turn-based strategy games and agents, we will add support for real-time strategy games in future updates. Flexibility is achieved by utilising YAML-files to configure tiles, units, actions, and levels. Therefore, the user can design and run a variety of games to test developed agents without specifically adjusting it to the game being generated. The framework has been built with a focus of statistical forward planning (SFP) agents. For this purpose, agents can access and modify game-states and use the forward model to simulate the outcome of their actions. While SFP agents have shown great flexibility in general game-playing, their performance is limited in case of complex state and action-spaces. Finally, we hope that the development of this framework and its respective agents helps to better understand the complex decision-making process in strategy games. Stratega can be downloaded at:


page 1

page 3


Deceptive Games

Deceptive games are games where the reward structure or other aspects of...

Ensemble Framework for Real-time Decision Making

This paper introduces a new framework for real-time decision making in v...

Design and Implementation of TAG: A Tabletop Games Framework

This document describes the design and implementation of the Tabletop Ga...

Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games

In typical real-time strategy (RTS) games, enemy units are visible only ...

What Drives People's Choices in Turn-Taking Games, if not Game-Theoretic Rationality?

In an earlier experiment, participants played a perfect information game...

Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games

Recent advances in Deep Reinforcement Learning (DRL) have largely focuse...

A Computational Model of the Institutional Analysis and Development Framework

The Institutional Analysis and Development (IAD) framework is a conceptu...