170 citations · 506 across the 51 of their papers we have counts for
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cs.MA2024
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Peihong Yu, Manav Mishra, Alec Koppel +5
Multi-Agent Reinforcement Learning (MARL) algorithms face the challenge of efficient exploration due to the exponential increase in the size of the joint state-action space. While…
cs.MA2016★ 75 cited
Proximity Without Consensus in Online Multi-Agent Optimization
Alec Koppel, Brian M. Sadler, Alejandro Ribeiro
We consider stochastic optimization problems in multi-agent settings, where a network of agents aims to learn parameters which are optimal in terms of a global objective, while giv…