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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

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Showing 101–110 of 311 papers

TitleStatusHype
Dungeons and Data: A Large-Scale NetHack DatasetCode2
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy GradientCode0
Exploring Adaptive MCTS with TD Learning in miniXCOM—0
On Efficient Reinforcement Learning for Full-length Game of StarCraft IICode2
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees—0
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction—0
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning—0
A Framework for Understanding and Visualizing Strategies of RL AgentsCode0
Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraftCode1
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2—0
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