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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 141150 of 311 papers

TitleStatusHype
MAC-PO: Multi-Agent Experience Replay via Collective Priority OptimizationCode0
Macro action selection with deep reinforcement learning in StarCraftCode0
Decision-making with Speculative Opponent ModelsCode0
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive TasksCode0
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World ModelsCode0
Multi-Agent Common Knowledge Reinforcement LearningCode0
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement LearningCode0
Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning0
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors0
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning0
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