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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 111–120 of 311 papers

TitleStatusHype
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning—0
Unsupervised Hebbian Learning on Point Sets in StarCraft II—0
SC2EGSet: StarCraft II Esport Replay and Game-state DatasetCode1
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games—0
On the Limitations of Elo: Real-World Games, are Transitive, not AdditiveCode0
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay BufferCode1
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?—0
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis—0
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning—0
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