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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 3140 of 311 papers

TitleStatusHype
Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning0
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy OptimizationCode1
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World ModelsCode0
Tree Search for Simultaneous Move Games via Equilibrium Approximation0
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement LearningCode1
Variational Offline Multi-agent Skill Discovery0
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning0
Group-Aware Coordination Graph for Multi-Agent Reinforcement LearningCode1
N-Agent Ad Hoc TeamworkCode1
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration0
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