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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 7180 of 311 papers

TitleStatusHype
Anticipatory Thinking Challenges in Open Worlds: Risk Management0
Transferable Curricula through Difficulty Conditioned Generators0
Maximum Entropy Heterogeneous-Agent Reinforcement LearningCode2
Semantic HELM: A Human-Readable Memory for Reinforcement LearningCode1
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization0
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningCode0
EXPODE: EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent Reinforcement LearningCode0
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?Code1
Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning0
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement LearningCode1
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