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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 176–200 of 311 papers

TitleStatusHype
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning—0
Implementing a Wall-In Building Placement in StarCraft with Declarative Programming—0
Improving Multi-Agent Cooperation using Theory of Mind—0
Incorporating Pragmatic Reasoning Communication into Emergent Language—0
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents—0
Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling—0
Innovative activities of Activision Blizzard: A patent network analysis—0
Intrinsically-Motivated Reinforcement Learning: A Brief Introduction—0
Language-Guided Multi-Agent Learning in Simulations: A Unified Framework and Evaluation—0
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning—0
Learning a Behavioral Repertoire from Demonstrations—0
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning—0
Learning Macromanagement in StarCraft from Replays using Deep Learning—0
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II—0
Learning to Transfer Role Assignment Across Team Sizes—0
Leveraging Transformers for StarCraft Macromanagement Prediction—0
NeuPL: Neural Population Learning—0
Neuroevolution for RTS Micro—0
NeuroPAL: Punctuated Anytime Learning with Neuroevolution for Macromanagement in Starcraft: Brood War—0
Never Explore Repeatedly in Multi-Agent Reinforcement Learning—0
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning—0
Off-Beat Multi-Agent Reinforcement Learning—0
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization—0
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration—0
On games and simulators as a platform for development of artificial intelligence for command and control—0
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