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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 201–210 of 311 papers

TitleStatusHype
Deep reinforcement learning with relational inductive biases—0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning—0
Disturbing Reinforcement Learning Agents with Corrupted Rewards—0
Divergence-Regularized Multi-Agent Actor-Critic—0
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients—0
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence—0
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning—0
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations—0
Enabling Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representation—0
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