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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 251–275 of 311 papers

TitleStatusHype
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning—0
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI—0
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets—0
Reinforcement Learning-based Application Autoscaling in the Cloud: A Survey—0
Heterogeneous Learning from Demonstration—0
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement LearningCode0
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands—0
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement LearningCode0
Learning Nearly Decomposable Value Functions Via Communication Minimization—0
Deep Coordination GraphsCode0
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based ControlCode0
Action Semantics Network: Considering the Effects of Actions in Multiagent SystemsCode0
Arena: a toolkit for Multi-Agent Reinforcement LearningCode0
Learning a Behavioral Repertoire from Demonstrations—0
Growing Action SpacesCode0
Explainable Reinforcement Learning Through a Causal LensCode0
Deep reinforcement learning with relational inductive biases—0
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning—0
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer LearningCode0
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement LearningCode0
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence—0
The Natural Language of ActionsCode0
StarAlgo: A Squad Movement Planning Library for StarCraft using Monte Carlo Tree Search and NegamaxCode0
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive TasksCode0
Variational Saccading: Efficient Inference for Large Resolution ImagesCode0
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