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20172023
most citedGeneralization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

58 citations · 215 across the 22 of their papers we have counts for

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cs.MA2020★ 12 cited

Difference Rewards Policy Gradients

Jacopo Castellini, Sam Devlin, Frans A. Oliehoek +1

Policy gradient methods have become one of the most popular classes of algorithms for multi-agent reinforcement learning. A key challenge, however, that is not addressed by many of…

cs.MA2019★ 3 cited

Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems

Kleanthis Malialis, Sam Devlin, Daniel Kudenko

Real-world congestion problems (e.g. traffic congestion) are typically very complex and large-scale. Multiagent reinforcement learning (MARL) is a promising candidate for dealing w…