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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 271–280 of 311 papers

TitleStatusHype
Multi-objective evolution for 3D RTS Micro—0
NeuPL: Neural Population Learning—0
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning—0
NeuroPAL: Punctuated Anytime Learning with Neuroevolution for Macromanagement in Starcraft: Brood War—0
Never Explore Repeatedly in Multi-Agent Reinforcement Learning—0
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning—0
Off-Beat Multi-Agent Reinforcement Learning—0
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization—0
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration—0
On games and simulators as a platform for development of artificial intelligence for command and control—0
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