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 Rate93.75Unverified
2DDNMedian Win Rate83.92Unverified
3DMIXMedian Win Rate49.43Unverified
4DPLEXMedian Win Rate43.75Unverified
5QPLEXAverage Score15.95Unverified
6QMIXMedian Win Rate12.78Unverified
7QMIXMedian Win Rate3Unverified
8QMIXMedian Win Rate3Unverified
9VDNMedian Win Rate0Unverified
10DIQLMedian Win Rate0Unverified