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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 251–260 of 311 papers

TitleStatusHype
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning—0
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI—0
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets—0
Reinforcement Learning-based Application Autoscaling in the Cloud: A Survey—0
Heterogeneous Learning from Demonstration—0
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement LearningCode0
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands—0
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement LearningCode0
Learning Nearly Decomposable Value Functions Via Communication Minimization—0
Deep Coordination GraphsCode0
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