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Michael Ahn — most-cited papers & profile · Reinforcement Learning
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Michael Ahn
9
papers ·
232
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
2019 · 37 citations
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
2019 · 11 citations
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
2020 · 10 citations
Top co-authors
Vikash Kumar
· 3
Hugo Ponte
· 2
Sergey Levine
· 2
Shixiang Gu
· 2
Abhishek Gupta
· 1
Archit Sharma
· 1
Henry Zhu
· 1
Karol Hausman
· 1
Kristian Hartikainen
· 1
Ofir Nachum
· 1
Topics
Value-Based
Exploration
Multi-Agent
Model-Based RL
Safe RL
Offline RL