HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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HyperAI초신경

Smac On Smac 26M Vs 30M

평가 지표

Average Score

Median Win Rate

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Average Score	Median Win Rate	Paper Title	Repository
VDN	16.69	23.01	A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning	-
QMIX	18.23	62.78	A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning	-
QPLEX	18.66	78.12	A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning	-
DMIX	19.17	81.82	A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning	-
DDN	18.49	67.90	A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning	-
DPLEX	18.49	59.38	A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning	-

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Smac On Smac 26M Vs 30M | SOTA | HyperAI초신경