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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 301311 of 311 papers

TitleStatusHype
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination DynamicsCode0
Forward Modeling for Partial Observation Strategy Games - A StarCraft DefoggerCode0
Terrain Analysis in StarCraft 1 and 2 as Combinatorial OptimizationCode0
Action Semantics Network: Considering the Effects of Actions in Multiagent SystemsCode0
The Natural Language of ActionsCode0
Decision-making with Speculative Opponent ModelsCode0
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World ModelsCode0
CODEX: A Cluster-Based Method for Explainable Reinforcement LearningCode0
FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent SystemsCode0
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed AgentsCode0
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy GamesCode0
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