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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

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Showing 101–125 of 175 papers

TitleStatusHype
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
On the Limitations of Elo: Real-World Games, are Transitive, not AdditiveCode0
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?—0
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis—0
Off-Beat Multi-Agent Reinforcement Learning—0
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II—0
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning—0
Learning to Transfer Role Assignment Across Team Sizes—0
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed AgentsCode0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement LearningCode0
FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent SystemsCode0
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy GradientsCode0
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning—0
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning—0
Cooperative Multi-Agent Reinforcement Learning with Hypergraph ConvolutionCode0
RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents—0
On games and simulators as a platform for development of artificial intelligence for command and control—0
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning—0
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism—0
Leveraging Transformers for StarCraft Macromanagement Prediction—0
Role Diversity Matters: A Study of Cooperative Training Strategies for Multi-Agent RL—0
MARNET: Backdoor Attacks against Value-Decomposition Multi-Agent Reinforcement Learning—0
An Approach to Partial Observability in Games: Learning to Both Act and Observe—0
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning—0
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