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Aaron M. Roth — most-cited papers & profile · Reinforcement Learning
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Aaron M. Roth
3
papers ·
37
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy
2019 · 22 citations
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
2021 · 15 citations
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation
2022
Top co-authors
and Dinesh Manocha
· 2
Jing Liang
· 2
Elham Tabassi
· 1
Manuela Veloso
· 1
Nicholay Topin
· 1
Pooyan Jamshidi
· 1
Ram Sriram
· 1
Topics
Safe RL
Model-Based RL
Policy Gradient
Value-Based