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Chris Nota — most-cited papers & profile · Reinforcement Learning
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Chris Nota
4
papers ·
3
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Asynchronous Coagent Networks
2019 · 5 citations
Classical Policy Gradient: Preserving Bellman's Principle of Optimality
2019
Learning Reusable Options for Multi-Task Reinforcement Learning
2020
On the Convergence of Discounted Policy Gradient Methods
2022
Top co-authors
Philip S. Thomas
· 2
and Philip S. Thomas
· 1
Francisco M. Garcia
· 1
James E. Kostas
· 1
James Kostas
· 1
Scott M. Jordan
· 1
Yash Chandak
· 1
Topics
Policy Gradient
Meta-RL
Exploration