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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

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Showing 101–150 of 311 papers

TitleStatusHype
Dungeons and Data: A Large-Scale NetHack DatasetCode2
Exploring Adaptive MCTS with TD Learning in miniXCOM—0
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy GradientCode0
On Efficient Reinforcement Learning for Full-length Game of StarCraft IICode2
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees—0
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction—0
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning—0
A Framework for Understanding and Visualizing Strategies of RL AgentsCode0
Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraftCode1
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2—0
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning—0
Unsupervised Hebbian Learning on Point Sets in StarCraft II—0
SC2EGSet: StarCraft II Esport Replay and Game-state DatasetCode1
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games—0
On the Limitations of Elo: Real-World Games, are Transitive, not AdditiveCode0
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay BufferCode1
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
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning—0
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL—0
DM^2: Decentralized Multi-Agent Reinforcement Learning for Distribution MatchingCode0
Off-Beat Multi-Agent Reinforcement Learning—0
QGNN: Value Function Factorisation with Graph Neural NetworksCode1
Terrain Analysis in StarCraft 1 and 2 as Combinatorial OptimizationCode0
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
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement LearningCode1
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed AgentsCode0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
Intrinsically-Motivated Reinforcement Learning: A Brief Introduction—0
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement LearningCode0
NeuPL: Neural Population Learning—0
FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent SystemsCode0
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning—0
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement LearningCode1
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy GradientsCode0
Deep Reinforcement Learning, a textbook—0
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
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC TasksCode1
Regularized Softmax Deep Multi-Agent Q-LearningCode1
RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents—0
Off-Policy Correction For Multi-Agent Reinforcement LearningCode0
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationCode1
Coordinated Proximal Policy OptimizationCode1
On games and simulators as a platform for development of artificial intelligence for command and control—0
State-based Episodic Memory for Multi-Agent Reinforcement Learning—0
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