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Starcraft

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

( Image credit: Macro Action Selection with Deep Reinforcement Learning in StarCraft )

Papers

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Showing 126–150 of 311 papers

TitleStatusHype
Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling—0
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments—0
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
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning—0
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization—0
Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning—0
Never Explore Repeatedly in Multi-Agent Reinforcement Learning—0
Anticipatory Thinking Challenges in Open Worlds: Risk Management—0
Transferable Curricula through Difficulty Conditioned Generators—0
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization—0
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningCode0
EXPODE: EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent Reinforcement LearningCode0
Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning—0
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning—0
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement LearningCode0
MAC-PO: Multi-Agent Experience Replay via Collective Priority OptimizationCode0
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network—0
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning—0
Equivariant MuZero—0
Self-Motivated Multi-Agent ExplorationCode0
Strangeness-driven Exploration in Multi-Agent Reinforcement LearningCode0
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