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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

Showing 1120 of 311 papers

TitleStatusHype
Dungeons and Data: A Large-Scale NetHack DatasetCode2
On Efficient Reinforcement Learning for Full-length Game of StarCraft IICode2
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement LearningCode2
A Benchmark for Generalizing Across Diverse Team Strategies in Competitive PokémonCode1
AVA: Attentive VLM Agent for Mastering StarCraft IICode1
Trajectory-Class-Aware Multi-Agent Reinforcement LearningCode1
SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMACCode1
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement LearningCode1
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy OptimizationCode1
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement LearningCode1
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