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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–110 of 311 papers

TitleStatusHype
Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning—0
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration—0
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations—0
Carefully Structured Compression: Efficiently Managing StarCraft II DataCode0
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model—0
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization—0
On Stateful Value Factorization in Multi-Agent Reinforcement Learning—0
Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning—0
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World ModelsCode0
Tree Search for Simultaneous Move Games via Equilibrium Approximation—0
Show:102550
← PrevPage 11 of 32Next →

No leaderboard results yet.