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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

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Showing 51–75 of 175 papers

TitleStatusHype
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy OptimizationCode1
Energy-based Surprise Minimization for Multi-Agent Value FactorizationCode1
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationCode1
Meta Reinforcement Learning with Autonomous Inference of Subtask DependenciesCode1
Perceiver IO: A General Architecture for Structured Inputs & OutputsCode1
Semantic HELM: A Human-Readable Memory for Reinforcement LearningCode1
TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning ProblemsCode1
N-Agent Ad Hoc TeamworkCode1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
FSV: Learning to Factorize Soft Value Function for Cooperative Multi-Agent Reinforcement Learning—0
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment—0
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning—0
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning—0
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning—0
Asynchronous Advantage Actor-Critic Agent for Starcraft II—0
Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games—0
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization—0
Collaborative AI Teaming in Unknown Environments via Active Goal Deduction—0
Learning to Transfer Role Assignment Across Team Sizes—0
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations—0
AlphaStar: An Evolutionary Computation Perspective—0
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations—0
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II—0
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