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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 131–140 of 311 papers

TitleStatusHype
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
Intrinsically-Motivated Reinforcement Learning: A Brief Introduction—0
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement LearningCode0
NeuPL: Neural Population Learning—0
FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent SystemsCode0
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning—0
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement LearningCode1
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy GradientsCode0
Deep Reinforcement Learning, a textbook—0
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning—0
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