most citedInducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning

1 citations · 2 across the 2 of their papers we have counts for

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cs.AI2022★ 1 cited

evoML Yellow Paper: Evolutionary AI and Optimisation Studio

Lingbo Li, Leslie Kanthan, Michail Basios +10

Machine learning model development and optimisation can be a rather cumbersome and resource-intensive process. Custom models are often more difficult to build and deploy, and they…

cs.AI2019★ 1 cited

Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning

Runsheng Yu, Zhenyu Shi, Xinrun Wang +5

Existing value-factorized based Multi-Agent deep Reinforce-ment Learning (MARL) approaches are well-performing invarious multi-agent cooperative environment under thecen-tralized t…