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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 141–150 of 311 papers

TitleStatusHype
MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search—0
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations—0
MARNET: Backdoor Attacks against Value-Decomposition Multi-Agent Reinforcement Learning—0
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning—0
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning—0
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning—0
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence—0
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients—0
Anticipatory Thinking Challenges in Open Worlds: Risk Management—0
MAIDCRL: Semi-centralized Multi-Agent Influence Dense-CNN Reinforcement Learning—0
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