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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 91–100 of 311 papers

TitleStatusHype
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning—0
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning—0
Coordinated Multi-Agent Exploration Using Shared Goals—0
Asynchronous Advantage Actor-Critic Agent for Starcraft II—0
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment—0
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network—0
Cooperative Multi-Agent Planning with Adaptive Skill Synthesis—0
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning—0
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning—0
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning—0
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