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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 121–130 of 311 papers

Title	Date	Tasks	Status	Hype	Score
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning	Feb 21, 2022	Multi-agent Reinforcement LearningStarcraft	CodeCode Available	0	5
A Framework for Understanding and Visualizing Strategies of RL Agents	Aug 17, 2022	EthicsStarcraft	CodeCode Available	0	5
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems	Jul 26, 2019	Deep Reinforcement LearningReinforcement Learning	CodeCode Available	0	5
StarCraft II: A New Challenge for Reinforcement Learning	Aug 16, 2017	Deep Reinforcement LearningReal-Time Strategy Games	CodeCode Available	0	5
DM^2: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching	Jun 1, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	0	5
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning	Dec 27, 2022	Efficient ExplorationMulti-agent Reinforcement Learning	CodeCode Available	0	5
Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-Decoders	Nov 30, 2018	Decision MakingDecoder	CodeCode Available	0	5
MSC: A Dataset for Macro-Management in StarCraft II	Oct 9, 2017	ManagementReal-Time Strategy Games	CodeCode Available	0	5
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization	Feb 21, 2023	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	0	5
Macro action selection with deep reinforcement learning in StarCraft	Dec 2, 2018	Deep Reinforcement LearningReal-Time Strategy Games	CodeCode Available	0	5

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