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Real-Time Strategy Games

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 )

Papers

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Showing 26–46 of 46 papers

TitleStatusHype
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games—0
Implementing a Wall-In Building Placement in StarCraft with Declarative Programming—0
Three-dimensional attention Transformer for state evaluation in real-time strategy games—0
The Design Of "Stratega": A General Strategy Games Framework—0
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games—0
Multi-objective evolution for 3D RTS Micro—0
Combining Strategic Learning and Tactical Search in Real-Time Strategy Games—0
Combinatorial Multi-armed Bandits for Real-Time Strategy Games—0
CortexCompile: Harnessing Cortical-Inspired Architectures for Enhanced Multi-Agent NLP Code Synthesis—0
Deep Learning for Video Game Playing—0
Deep Reinforcement Learning for Autonomous Cyber Defence: A Survey—0
A Hierarchical Game-Theoretic Decision-Making for Cooperative Multi-Agent Systems Under the Presence of Adversarial Agents—0
Demonstrating the Feasibility of Automatic Game Balancing—0
Co-evolving Real-Time Strategy Game Micro—0
Neuroevolution for RTS Micro—0
Evolutionary Multi-objective Optimization of Real-Time Strategy Micro—0
On games and simulators as a platform for development of artificial intelligence for command and control—0
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning—0
Reinforcement Learning approach for Real Time Strategy Games Battle city and S3—0
A Survey of Deep Reinforcement Learning in Video Games—0
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War—0
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