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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 211–220 of 311 papers

TitleStatusHype
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment—0
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games—0
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning—0
Deep Convolution for Irregularly Sampled Temporal Point Clouds—0
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients—0
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking—0
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning—0
"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?—0
Regularized Softmax Deep Multi-Agent Q-Learning—0
Meta-Learning for Planning: Automatic Synthesis of Sample Based Planners—0
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