Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Sergio Rozada — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sergio Rozada
10
papers ·
7
citations ·
4
h-index
Pennsylvania State University · Universidad Rey Juan Carlos · California University of Pennsylvania
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
2022 · 4 citations
Tensor Low-rank Approximation of Finite-horizon Value Functions
2024 · 3 citations
Learning Policy Representations for Steerable Behavior Synthesis
2026
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
2025
Addressing Finite-Horizon MDPs via Low-Rank Tensor Value Approximation
2025
Matrix Low-Rank Trust Region Policy Optimization
2024
Matrix Low-Rank Approximation For Policy Gradient Methods
2024
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
2024
Top co-authors
Antonio G. Marqués
· 7
Alejandro Ribeiro
· 1
Alejandro Ribeiro
· 1
Beiming Li
· 1
Dongsheng Ding
· 1
Hoi-To Wai
· 1
Jose Luis Orejuela
· 1
Juan Andres Bazerque
· 1
Santiago Paternain
· 1
Santiago Paternain and Antonio G. Marques
· 1
Topics
Model-Based RL
Policy Gradient
Value-Based
Meta-RL
Multi-Agent
Safe RL