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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

Showing 101150 of 175 papers

TitleStatusHype
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment0
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning0
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement LearningCode1
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games0
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning0
Deep Convolution for Irregularly Sampled Temporal Point Clouds0
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement LearningCode1
An Introduction of mini-AlphaStarCode1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTSCode1
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning0
Regularized Softmax Deep Multi-Agent Q-Learning0
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent GamesCode1
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning0
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents0
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement LearningCode1
RMIX: Risk-Sensitive Multi-Agent Reinforcement Learning0
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients0
Spatially Structured Recurrent Modules0
FSV: Learning to Factorize Soft Value Function for Cooperative Multi-Agent Reinforcement Learning0
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II0
Reinforcement Learning for the Beginning of Starcraft II Game0
TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full GameCode1
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement LearningCode1
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement LearningCode1
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning0
RODE: Learning Roles to Decompose Multi-Agent TasksCode1
Spatially Structured Recurrent Modules0
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning0
Energy-based Surprise Minimization for Multi-Agent Value FactorizationCode1
BGC: Multi-Agent Group Belief with Graph Clustering0
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection0
QPLEX: Duplex Dueling Multi-Agent Q-LearningCode1
Off-Policy Multi-Agent Decomposed Policy GradientsCode1
Value-Decomposition Multi-Agent Actor-CriticsCode1
S2RMs: Spatially Structured Recurrent Modules0
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement LearningCode1
Deep Implicit Coordination Graphs for Multi-agent Reinforcement LearningCode1
StarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search0
Incorporating Pragmatic Reasoning Communication into Emergent Language0
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization0
Real World Games Look Like Spinning TopsCode1
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning0
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets0
Heterogeneous Learning from Demonstration0
Meta Reinforcement Learning with Autonomous Inference of Subtask DependenciesCode1
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement LearningCode1
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands0
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