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Paavo Parmas — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Paavo Parmas
6
papers ·
4
citations ·
3
h-index
The University of Tokyo
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme
2019 · 2 citations
A unified view of likelihood ratio and reparameterization gradients
2021 · 2 citations
Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
2026
On Advantage Estimates for Max@K Policy Gradients
2026
Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients?
2026
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
2024
Top co-authors
Masashi Sugiyama
· 2
Soichiro Nishimori
· 2
Tadashi Kozuno
· 2
Toshinori Kitamura
· 2
Gouki Minegishi
· 1
Kazumi Kasaura
· 1
Kenta Hoshino
· 1
Kohsei Matsutani
· 1
Ku Onoda
· 1
Manato Yaguchi
· 1
Masashi Hamaya
· 1
Shin Ishii
· 1
Topics
Policy Gradient
Exploration
Model-Based RL
RLHF & Alignment
Safe RL