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 251–275 of 311 papers

TitleStatusHype
Self-Motivated Multi-Agent ExplorationCode0
Explainable Reinforcement Learning Through a Causal LensCode0
Variational Saccading: Efficient Inference for Large Resolution ImagesCode0
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team CompetitionCode0
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy GamesCode0
A Framework for Understanding and Visualizing Strategies of RL AgentsCode0
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer LearningCode0
Carefully Structured Compression: Efficiently Managing StarCraft II DataCode0
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based ControlCode0
Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical ReportCode0
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement LearningCode0
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement LearningCode0
DM^2: Decentralized Multi-Agent Reinforcement Learning for Distribution MatchingCode0
Multi-Agent Common Knowledge Reinforcement LearningCode0
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat GamesCode0
Cooperative Multi-Agent Reinforcement Learning with Hypergraph ConvolutionCode0
Off-Policy Correction For Multi-Agent Reinforcement LearningCode0
MSC: A Dataset for Macro-Management in StarCraft IICode0
MazeBase: A Sandbox for Learning from GamesCode0
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement LearningCode0
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
Show:102550
← PrevPage 11 of 13Next →

No leaderboard results yet.