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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 101150 of 311 papers

TitleStatusHype
The Natural Language of ActionsCode0
EXPODE: EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent Reinforcement LearningCode0
Explainable Reinforcement Learning Through a Causal LensCode0
StarAlgo: A Squad Movement Planning Library for StarCraft using Monte Carlo Tree Search and NegamaxCode0
FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent SystemsCode0
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer LearningCode0
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement LearningCode0
Self-Motivated Multi-Agent ExplorationCode0
Arena: a toolkit for Multi-Agent Reinforcement LearningCode0
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement LearningCode0
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement LearningCode0
RedDwarfData: a simplified dataset of StarCraft matchesCode0
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy GamesCode0
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer LearningCode0
CODEX: A Cluster-Based Method for Explainable Reinforcement LearningCode0
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based ControlCode0
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed AgentsCode0
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement LearningCode0
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement LearningCode0
A Framework for Understanding and Visualizing Strategies of RL AgentsCode0
DM^2: Decentralized Multi-Agent Reinforcement Learning for Distribution MatchingCode0
Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-DecodersCode0
Action Semantics Network: Considering the Effects of Actions in Multiagent SystemsCode0
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement LearningCode0
Relational Deep Reinforcement LearningCode0
Cooperative Multi-Agent Reinforcement Learning with Hypergraph ConvolutionCode0
On the Limitations of Elo: Real-World Games, are Transitive, not AdditiveCode0
Carefully Structured Compression: Efficiently Managing StarCraft II DataCode0
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement LearningCode0
Off-Policy Correction For Multi-Agent Reinforcement LearningCode0
Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical ReportCode0
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy GamesCode0
A Dataset for StarCraft AI \& an Example of Armies ClusteringCode0
Multi-Agent Common Knowledge Reinforcement LearningCode0
MSC: A Dataset for Macro-Management in StarCraft IICode0
MazeBase: A Sandbox for Learning from GamesCode0
Deep Coordination GraphsCode0
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat GamesCode0
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement LearningCode0
MAC-PO: Multi-Agent Experience Replay via Collective Priority OptimizationCode0
Learning Nearly Decomposable Value Functions Via Communication MinimizationCode0
Decision-making with Speculative Opponent ModelsCode0
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World ModelsCode0
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive TasksCode0
Macro action selection with deep reinforcement learning in StarCraftCode0
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement LearningCode0
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy GradientCode0
Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning0
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors0
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