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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 71–80 of 311 papers

Title	Date	Tasks	Status	Hype
Value-Decomposition Multi-Agent Actor-Critics	Jul 24, 2020	Multi-agent Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning	Jun 19, 2020	Graph Neural NetworkMulti-agent Reinforcement Learning	CodeCode Available	1
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning	Jun 18, 2020	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Learning to Play No-Press Diplomacy with Best Response Policy Iteration	Jun 8, 2020	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning	Jun 7, 2020	counterfactualMulti-agent Reinforcement Learning	CodeCode Available	1
Real World Games Look Like Spinning Tops	Apr 20, 2020	ClusteringStarcraft	CodeCode Available	1
FACMAC: Factored Multi-Agent Centralised Policy Gradients	Mar 14, 2020	MuJoCoMulti-agent Reinforcement Learning	CodeCode Available	1
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets	Mar 4, 2020	Starcraft	CodeCode Available	1
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies	Jan 1, 2020	Efficient ExplorationMeta Reinforcement Learning	CodeCode Available	1
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning	Dec 1, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1

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