SOTAVerified

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 271280 of 311 papers

TitleStatusHype
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningCode0
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy GamesCode0
On the Limitations of Elo: Real-World Games, are Transitive, not AdditiveCode0
StarAlgo: A Squad Movement Planning Library for StarCraft using Monte Carlo Tree Search and NegamaxCode0
StarCraft II: A New Challenge for Reinforcement LearningCode0
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
Macro action selection with deep reinforcement learning in StarCraftCode0
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement LearningCode0
Transformer World Model for Sample Efficient Multi-Agent Reinforcement LearningCode0
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement LearningCode0
Show:102550
← PrevPage 28 of 32Next →

No leaderboard results yet.