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 )

Most implemented papers

Experiments with Game Tree Search in Real-Time Strategy Games

bewrrrie/ChessAI 9 Aug 2012

Game tree search algorithms such as minimax have been used with enormous success in turn-based adversarial games such as Chess or Checkers.

A Dataset for StarCraft AI \& an Example of Armies Clustering

TorchCraft/StarData 19 Nov 2012

We evaluated this clustering method by predicting the outcomes of battles based on armies compositions' mixtures components

STARDATA: A StarCraft AI Research Dataset

TorchCraft/StarData 7 Aug 2017

We provide full game state data along with the original replays that can be viewed in StarCraft.

Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report

Games-and-Simulations/sc-docker 7 Jan 2018

We present a dockerized version of a real-time strategy game StarCraft: Brood War, commonly used as a domain for AI research, with a pre-installed collection of AI developement tools supporting all the major types of StarCraft bots.

StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning

nanxintin/StarCraft-AI 3 Apr 2018

With reinforcement learning and curriculum transfer learning, our units are able to learn appropriate strategies in StarCraft micromanagement scenarios.

Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games

cair/DeepRTS 15 Aug 2018

Reinforcement learning (RL) is an area of research that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in computer games.

Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-Decoders

TeamSAIDA/SAIDA 30 Nov 2018

StarCraft, one of the most popular real-time strategy games, is a compelling environment for artificial intelligence research for both micro-level unit control and macro-level strategic decision making.

Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger

facebookresearch/starcraft_defogger ICLR 2018

We formulate the problem of defogging as state estimation and future state prediction from previous, partial observations in the context of real-time strategy games.

Macro action selection with deep reinforcement learning in StarCraft

Bilibili/LastOrder 2 Dec 2018

These rules are not scalable and efficient enough to cope with the enormous yet partially observed state space in the game.

StarAlgo: A Squad Movement Planning Library for StarCraft using Monte Carlo Tree Search and Negamax

Games-and-Simulations/StarAlgo 29 Dec 2018

Real-Time Strategy (RTS) games have recently become a popular testbed for artificial intelligence research.