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Starcraft II

Starcraft II is a RTS game; the task is to train an agent to play the game.

( Image credit: The StarCraft Multi-Agent Challenge )

Papers

Showing 51–75 of 175 papers

TitleStatusHype
Value-Decomposition Multi-Agent Actor-CriticsCode1
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement LearningCode1
Deep Implicit Coordination Graphs for Multi-agent Reinforcement LearningCode1
Real World Games Look Like Spinning TopsCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
Meta Reinforcement Learning with Autonomous Inference of Subtask DependenciesCode1
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement LearningCode1
The StarCraft Multi-Agent ChallengeCode1
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement LearningCode1
Language-Guided Multi-Agent Learning in Simulations: A Unified Framework and Evaluation—0
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement LearningCode0
Reflection of Episodes: Learning to Play Game from Expert and Self Experiences—0
Superhuman Game AI Disclosure: Expertise and Context Moderate Effects on Trust and Fairness—0
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination DynamicsCode0
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors—0
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement LearningCode0
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations—0
Carefully Structured Compression: Efficiently Managing StarCraft II DataCode0
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization—0
On Stateful Value Factorization in Multi-Agent Reinforcement Learning—0
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning—0
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement LearningCode0
Collaborative AI Teaming in Unknown Environments via Active Goal Deduction—0
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition—0
Aligning Individual and Collective Objectives in Multi-Agent Cooperation—0
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