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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 226–250 of 311 papers

TitleStatusHype
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction—0
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients—0
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning—0
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning—0
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition—0
Regularized Softmax Deep Multi-Agent Q-Learning—0
StarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search—0
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments—0
State-based Episodic Memory for Multi-Agent Reinforcement Learning—0
Superhuman Game AI Disclosure: Expertise and Context Moderate Effects on Trust and Fairness—0
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning—0
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games—0
The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems—0
Towards a Deep Reinforcement Learning Approach for Tower Line Wars—0
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization—0
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning—0
Transferable Curricula through Difficulty Conditioned Generators—0
Tree Search for Simultaneous Move Games via Equilibrium Approximation—0
Truthful Self-Play—0
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning—0
Unsupervised Hebbian Learning on Point Sets in StarCraft II—0
Value Propagation Networks—0
Variational Offline Multi-agent Skill Discovery—0
"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?—0
Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-DecodersCode0
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