SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 175 papers

TitleStatusHype
Language-Guided Multi-Agent Learning in Simulations: A Unified Framework and Evaluation—0
AVA: Attentive VLM Agent for Mastering StarCraft IICode1
Trajectory-Class-Aware Multi-Agent Reinforcement LearningCode1
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement LearningCode0
Reflection of Episodes: Learning to Play Game from Expert and Self Experiences—0
Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First TimeCode2
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
LLM-PySC2: Starcraft II learning environment for Large Language ModelsCode2
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
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy OptimizationCode1
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning—0
Group-Aware Coordination Graph for Multi-Agent Reinforcement LearningCode1
N-Agent Ad Hoc TeamworkCode1
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
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement LearningCode2
Aligning Individual and Collective Objectives in Multi-Agent Cooperation—0
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations—0
SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language modelsCode1
BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions—0
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments—0
Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization ApproachCode2
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning—0
CODEX: A Cluster-Based Method for Explainable Reinforcement LearningCode0
Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play—0
JaxMARL: Multi-Agent RL Environments and Algorithms in JAXCode2
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning—0
FoX: Formation-aware exploration in multi-agent reinforcement learningCode1
Never Explore Repeatedly in Multi-Agent Reinforcement Learning—0
AlphaStar Unplugged: Large-Scale Offline Reinforcement LearningCode2
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value RegularizationCode1
Semantic HELM: A Human-Readable Memory for Reinforcement LearningCode1
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization—0
EXPODE: EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent Reinforcement LearningCode0
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?Code1
Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning—0
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement LearningCode1
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information PrinciplesCode1
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning—0
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network—0
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
Show:102550
← PrevPage 1 of 4Next →

No leaderboard results yet.