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 131140 of 311 papers

TitleStatusHype
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat GamesCode0
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy GamesCode0
A Dataset for StarCraft AI \& an Example of Armies ClusteringCode0
MAC-PO: Multi-Agent Experience Replay via Collective Priority OptimizationCode0
Deep Coordination GraphsCode0
Macro action selection with deep reinforcement learning in StarCraftCode0
MazeBase: A Sandbox for Learning from GamesCode0
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement LearningCode0
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy GradientCode0
Decision-making with Speculative Opponent ModelsCode0
Show:102550
← PrevPage 14 of 32Next →

No leaderboard results yet.