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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

Showing 251300 of 311 papers

TitleStatusHype
Self-Motivated Multi-Agent ExplorationCode0
Explainable Reinforcement Learning Through a Causal LensCode0
Variational Saccading: Efficient Inference for Large Resolution ImagesCode0
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team CompetitionCode0
Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical ReportCode0
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy GamesCode0
A Framework for Understanding and Visualizing Strategies of RL AgentsCode0
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer LearningCode0
Carefully Structured Compression: Efficiently Managing StarCraft II DataCode0
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based ControlCode0
Multi-Agent Common Knowledge Reinforcement LearningCode0
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement LearningCode0
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement LearningCode0
DM^2: Decentralized Multi-Agent Reinforcement Learning for Distribution MatchingCode0
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat GamesCode0
MSC: A Dataset for Macro-Management in StarCraft IICode0
Cooperative Multi-Agent Reinforcement Learning with Hypergraph ConvolutionCode0
Off-Policy Correction For Multi-Agent Reinforcement LearningCode0
MazeBase: A Sandbox for Learning from GamesCode0
Macro action selection with deep reinforcement learning in StarCraftCode0
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement LearningCode0
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningCode0
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy GamesCode0
On the Limitations of Elo: Real-World Games, are Transitive, not AdditiveCode0
StarAlgo: A Squad Movement Planning Library for StarCraft using Monte Carlo Tree Search and NegamaxCode0
StarCraft II: A New Challenge for Reinforcement LearningCode0
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
MAC-PO: Multi-Agent Experience Replay via Collective Priority OptimizationCode0
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement LearningCode0
Transformer World Model for Sample Efficient Multi-Agent Reinforcement LearningCode0
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement LearningCode0
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement LearningCode0
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer LearningCode0
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement LearningCode0
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive TasksCode0
STARDATA: A StarCraft AI Research DatasetCode0
Learning Nearly Decomposable Value Functions Via Communication MinimizationCode0
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy GradientCode0
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy GradientsCode0
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement LearningCode0
Strangeness-driven Exploration in Multi-Agent Reinforcement LearningCode0
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement LearningCode0
Growing Action SpacesCode0
RedDwarfData: a simplified dataset of StarCraft matchesCode0
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full GameCode0
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement LearningCode0
Arena: a toolkit for Multi-Agent Reinforcement LearningCode0
Deep Coordination GraphsCode0
A Dataset for StarCraft AI \& an Example of Armies ClusteringCode0
Relational Deep Reinforcement LearningCode0
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