SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 46 papers

TitleStatusHype
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement LearningCode1
A Closer Look at Invalid Action Masking in Policy Gradient AlgorithmsCode1
The StarCraft Multi-Agent ChallengeCode1
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine LearningCode1
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy GamesCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
Reinforcement Learning approach for Real Time Strategy Games Battle city and S3—0
Deep Learning for Video Game Playing—0
Deep Reinforcement Learning for Autonomous Cyber Defence: A Survey—0
A Survey of Deep Reinforcement Learning in Video Games—0
Demonstrating the Feasibility of Automatic Game Balancing—0
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games—0
The Design Of "Stratega": A General Strategy Games Framework—0
Three-dimensional attention Transformer for state evaluation in real-time strategy games—0
Evolutionary Multi-objective Optimization of Real-Time Strategy Micro—0
Co-evolving Real-Time Strategy Game Micro—0
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning—0
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War—0
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors—0
Combinatorial Multi-armed Bandits for Real-Time Strategy Games—0
Implementing a Wall-In Building Placement in StarCraft with Declarative Programming—0
A Hierarchical Game-Theoretic Decision-Making for Cooperative Multi-Agent Systems Under the Presence of Adversarial Agents—0
Combining Strategic Learning and Tactical Search in Real-Time Strategy Games—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
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.