SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 175 papers

TitleStatusHype
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning—0
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games—0
BGC: Multi-Agent Group Belief with Graph Clustering—0
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning—0
Never Explore Repeatedly in Multi-Agent Reinforcement Learning—0
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning—0
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning—0
Off-Beat Multi-Agent Reinforcement Learning—0
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization—0
Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games—0
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations—0
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence—0
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients—0
On games and simulators as a platform for development of artificial intelligence for command and control—0
On Reinforcement Learning for Full-length Game of StarCraft—0
On Stateful Value Factorization in Multi-Agent Reinforcement Learning—0
Asynchronous Advantage Actor-Critic Agent for Starcraft II—0
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands—0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
An Approach to Partial Observability in Games: Learning to Both Act and Observe—0
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning—0
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning—0
Deep reinforcement learning with relational inductive biases—0
Deep Convolution for Irregularly Sampled Temporal Point Clouds—0
Reflection of Episodes: Learning to Play Game from Expert and Self Experiences—0
Show:102550
← PrevPage 5 of 7Next →

No leaderboard results yet.