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Michael Everett — most-cited papers & profile · Reinforcement Learning
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·
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Michael Everett
9
papers ·
121
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
R-MADDPG for Partially Observable Environments and Limited Communication
2020 · 64 citations
Socially Aware Motion Planning with Deep Reinforcement Learning
2017 · 42 citations
Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning
2020 · 5 citations
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
2022 · 5 citations
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians
2021 · 3 citations
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
2016 · 1 citations
Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces
2017 · 1 citations
Top co-authors
Jonathan P. How
· 5
Miao Liu
· 3
and Jonathan P. How
· 2
Yu Fan Chen
· 2
Anton de Ruiter
· 1
Bruno Brito
· 1
Christopher Amato
· 1
Chuangchuang Sun
· 1
Dong-Ki Kim
· 1
Gerald Tesauro
· 1
Hugh Liu
· 1
Jakob N. Foerster
· 1
Topics
Multi-Agent
Value-Based
Safe RL
Model-Based RL
Policy Gradient
Offline RL
Game AI