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SMAC

Bechmarks for Efficient Exploration of Completion of Multi-stage Tasks and Usage of Environmental Factors

Papers

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Showing 51–75 of 121 papers

TitleStatusHype
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World ModelsCode0
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning—0
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration—0
Better Understandings and Configurations in MaxSAT Local Search Solvers via Anytime Performance Analysis—0
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement LearningCode0
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning—0
Aligning Individual and Collective Objectives in Multi-Agent Cooperation—0
Enabling Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representation—0
MAIDCRL: Semi-centralized Multi-Agent Influence Dense-CNN Reinforcement Learning—0
Poisson Process for Bayesian Optimization—0
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration—0
AgentMixer: Multi-Agent Correlated Policy Factorization—0
Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling—0
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning—0
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning—0
MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning—0
Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning—0
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningCode0
Research on Multi-Agent Communication and Collaborative Decision-Making Based on Deep Reinforcement Learning—0
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning—0
Automated classification of pre-defined movement patterns: A comparison between GNSS and UWB technology—0
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement LearningCode0
Self-Motivated Multi-Agent ExplorationCode0
Effects of Spectral Normalization in Multi-agent Reinforcement LearningCode0
Decision-making with Speculative Opponent ModelsCode0
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All datasetsSMAC MMM2SMAC 3s5z_vs_3s6zSMAC corridorSMAC 6h_vs_8zSMAC 27m_vs_30mSMAC 26m_vs_30mSMAC 3s5z_vs_4s6zSMAC 6h_vs_9zSMAC corridor_2z_vs_24zgSMAC MMM2_7m2M1M_vs_8m4M1MSMAC MMM2_7m2M1M_vs_9m3M1M

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACEMedian Win Rate100—Unverified
2DDNMedian Win Rate97.22—Unverified
3DPLEXMedian Win Rate96.88—Unverified
4QPLEXMedian Win Rate96.88—Unverified
5DMIXMedian Win Rate95.11—Unverified
6QMIXMedian Win Rate92.44—Unverified
7VDNMedian Win Rate89.2—Unverified
8DIQLMedian Win Rate85.23—Unverified
9QMIXMedian Win Rate69—Unverified
10QMIXMedian Win Rate69—Unverified
#ModelMetricClaimedVerifiedStatus
1ACEMedian Win Rate100—Unverified
2DDNMedian Win Rate94.03—Unverified
3DMIXMedian Win Rate91.08—Unverified
4DPLEXMedian Win Rate90.62—Unverified
5VDNMedian Win Rate89.2—Unverified
6QPLEXMedian Win Rate84.38—Unverified
7QMIXMedian Win Rate67.22—Unverified
8DIQLMedian Win Rate62.22—Unverified
9IQLMedian Win Rate29.83—Unverified
10QMIXMedian Win Rate2—Unverified
#ModelMetricClaimedVerifiedStatus
1ACEMedian Win Rate100—Unverified
2DDNMedian Win Rate95.4—Unverified
3DIQLMedian Win Rate91.62—Unverified
4DMIXMedian Win Rate90.45—Unverified
5VDNMedian Win Rate85.34—Unverified
6IQLMedian Win Rate84.87—Unverified
7DPLEXMedian Win Rate81.25—Unverified
8QPLEXMedian Win Rate75—Unverified
9QMIXMedian Win Rate37.61—Unverified
10QMIXMedian Win Rate1—Unverified
#ModelMetricClaimedVerifiedStatus
1ACEMedian Win Rate93.75—Unverified
2DDNMedian Win Rate83.92—Unverified
3DMIXMedian Win Rate49.43—Unverified
4DPLEXMedian Win Rate43.75—Unverified
5QPLEXAverage Score15.95—Unverified
6QMIXMedian Win Rate12.78—Unverified
7QMIXMedian Win Rate3—Unverified
8QMIXMedian Win Rate3—Unverified
9HeuristicMedian Win Rate0—Unverified
10VDNMedian Win Rate0—Unverified
#ModelMetricClaimedVerifiedStatus
1DDNMedian Win Rate91.48—Unverified
2DPLEXMedian Win Rate90.62—Unverified
3DMIXMedian Win Rate85.45—Unverified
4QMIXMedian Win Rate84.77—Unverified
5QPLEXMedian Win Rate78.12—Unverified
6VDNMedian Win Rate63.12—Unverified
7QMIXMedian Win Rate49—Unverified
8QMIXMedian Win Rate49—Unverified
9DIQLMedian Win Rate6.02—Unverified
10IQLMedian Win Rate2.27—Unverified
#ModelMetricClaimedVerifiedStatus
1DMIXAverage Score19.17—Unverified
2QPLEXAverage Score18.66—Unverified
3DDNAverage Score18.49—Unverified
4DPLEXAverage Score18.49—Unverified
5QMIXAverage Score18.23—Unverified
6VDNAverage Score16.69—Unverified
#ModelMetricClaimedVerifiedStatus
1DDNAverage Score19.65—Unverified
2DMIXAverage Score18.61—Unverified
3VDNAverage Score17.16—Unverified
4DPLEXAverage Score14.99—Unverified
5QPLEXAverage Score13.6—Unverified
6QMIXAverage Score13.09—Unverified
#ModelMetricClaimedVerifiedStatus
1DDNAverage Score16—Unverified
2DPLEXAverage Score14.84—Unverified
3QPLEXAverage Score13.86—Unverified
4DMIXAverage Score13.73—Unverified
5VDNAverage Score13.57—Unverified
6QMIXAverage Score12.37—Unverified
#ModelMetricClaimedVerifiedStatus
1DDNAverage Score11.1—Unverified
2DPLEXAverage Score10.71—Unverified
3VDNAverage Score7.78—Unverified
4DMIXAverage Score7.41—Unverified
5QPLEXAverage Score6.44—Unverified
6QMIXAverage Score4.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DDNAverage Score16.5—Unverified
2DMIXAverage Score16.24—Unverified
3DPLEXAverage Score15.89—Unverified
4QPLEXAverage Score15.52—Unverified
5QMIXAverage Score14.4—Unverified
6VDNAverage Score13.13—Unverified
#ModelMetricClaimedVerifiedStatus
1DDNAverage Score19.45—Unverified
2DPLEXAverage Score19.4—Unverified
3DMIXAverage Score19.33—Unverified
4QPLEXAverage Score19.06—Unverified
5QMIXAverage Score19.01—Unverified
6VDNAverage Score17.3—Unverified