SOTAVerified|Agents Browse Leaderboard About

Starcraft II

Starcraft II is a RTS game; the task is to train an agent to play the game.

( Image credit: The StarCraft Multi-Agent Challenge )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 161–170 of 175 papers

Title	Date	Tasks	Status	Hype
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems	Jul 26, 2019	Deep Reinforcement LearningReinforcement Learning	CodeCode Available	0
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning	Mar 2, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	0
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics	Jan 21, 2025	Distributional Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	0
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning	Mar 28, 2024	Graph LearningMulti-agent Reinforcement Learning	CodeCode Available	0
The Natural Language of Actions	Feb 4, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	0
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control	Sep 6, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	0
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning	Feb 21, 2022	Multi-agent Reinforcement LearningStarcraft	CodeCode Available	0
FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systems	Jan 28, 2022	Decision Makingreinforcement-learning	CodeCode Available	0
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games	Aug 15, 2018	Deep Reinforcement LearningReal-Time Strategy Games	CodeCode Available	0
Self-Motivated Multi-Agent Exploration	Jan 5, 2023	Multi-agent Reinforcement LearningSMAC	CodeCode Available	0

Show:10 25 50

← PrevPage 17 of 18Next →

No leaderboard results yet.