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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 276300 of 311 papers

TitleStatusHype
Macro action selection with deep reinforcement learning in StarCraftCode0
Forward Modeling for Partial Observation Strategy Games - A StarCraft DefoggerCode0
Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-DecodersCode0
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War0
Modular Architecture for StarCraft II with Deep Reinforcement Learning0
Multi-Agent Common Knowledge Reinforcement LearningCode0
On Reinforcement Learning for Full-length Game of StarCraft0
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full GameCode0
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy GamesCode0
Asynchronous Advantage Actor-Critic Agent for Starcraft II0
Relational Deep Reinforcement LearningCode0
Value Propagation Networks0
Action Categorization for Computationally Improved Task Learning and Planning0
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer LearningCode0
Neuroevolution for RTS Micro0
Multi-objective evolution for 3D RTS Micro0
Composable Planning with Attributes0
Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical ReportCode0
RedDwarfData: a simplified dataset of StarCraft matchesCode0
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning0
Towards a Deep Reinforcement Learning Approach for Tower Line Wars0
MSC: A Dataset for Macro-Management in StarCraft IICode0
StarCraft II: A New Challenge for Reinforcement LearningCode0
STARDATA: A StarCraft AI Research DatasetCode0
Learning Macromanagement in StarCraft from Replays using Deep Learning0
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