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Mark S. Squillante — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Mark S. Squillante
6
papers ·
28
citations ·
32
h-index
IBM (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A General Family of Robust Stochastic Operators for Reinforcement Learning
2018 · 1 citations
A General Markov Decision Process Framework for Directly Learning Optimal Control Policies
2019
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms
2024
Top co-authors
Chai Wah Wu
· 3
Yingdong Lu
· 2
Santiago Paternain
· 1
Weiqin Chen
· 1
Topics
Value-Based
Model-Based RL
Safe RL
Exploration
Policy Gradient