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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 5175 of 311 papers

TitleStatusHype
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy OptimizationCode1
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement LearningCode1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?Code1
Meta Reinforcement Learning with Autonomous Inference of Subtask DependenciesCode1
Coordinated Proximal Policy OptimizationCode1
A Benchmark for Generalizing Across Diverse Team Strategies in Competitive PokémonCode1
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement LearningCode1
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement LearningCode1
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information PrinciplesCode1
Learning to Play No-Press Diplomacy with Best Response Policy IterationCode1
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement LearningCode1
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement LearningCode1
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-LearningCode1
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement LearningCode1
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay BufferCode1
Deep Implicit Coordination Graphs for Multi-agent Reinforcement LearningCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
Multi-Agent Collaboration via Reward Attribution DecompositionCode1
RODE: Learning Roles to Decompose Multi-Agent TasksCode1
Energy-based Surprise Minimization for Multi-Agent Value FactorizationCode1
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial NetsCode1
N-Agent Ad Hoc TeamworkCode1
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent GamesCode1
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