Real-Time Strategy Games
23 papers with code • 0 benchmarks • 4 datasets
Real-Time Strategy (RTS) tasks involve training an agent to play video games with continuous gameplay and high-level macro-strategic goals such as map control, economic superiority and more.
( Image credit: Multi-platform Version of StarCraft: Brood War in a Docker Container )
Benchmarks
These leaderboards are used to track progress in Real-Time Strategy Games
Mario AI
eSports Sensors Dataset
StarData
Most implemented papers
Constrained optimization under uncertainty for decision-making problems: Application to Real-Time Strategy games
However, few Constraint Programming formalisms can deal with both optimization and uncertainty at the same time, and none of them are convenient to model problems we tackle in this paper.
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
In this article, we propose the methods based on the sensor data analysis for predicting whether a player will win the future encounter.
Terrain Analysis in StarCraft 1 and 2 as Combinatorial Optimization
The goal of terrain analysis is to gather and process data about the map topology and properties to have a qualitative spatial representation.
