SOTAVerified

SMAC

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

Papers

Showing 110 of 121 papers

TitleStatusHype
Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic GenerationCode0
Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement LearningCode1
Ensemble-MIX: Enhancing Sample Efficiency in Multi-Agent RL Using Ensemble Methods0
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning0
POCAII: Parameter Optimization with Conscious Allocation using Iterative Intelligence0
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 MinutesCode1
Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Delayed Observation0
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent CooperationCode0
AVA: Attentive VLM Agent for Mastering StarCraft IICode1
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACEMedian Win Rate100Unverified
2DDNMedian Win Rate95.4Unverified
3DIQLMedian Win Rate91.62Unverified
4DMIXMedian Win Rate90.45Unverified
5VDNMedian Win Rate85.34Unverified
6IQLMedian Win Rate84.87Unverified
7DPLEXMedian Win Rate81.25Unverified
8QPLEXMedian Win Rate75Unverified
9QMIXMedian Win Rate37.61Unverified
10QMIXMedian Win Rate1Unverified