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Diego Romeres — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Diego Romeres
22
papers ·
31
citations ·
15
h-index
Amazon (United States) · Robotics Research (United States) · Mitsubishi Electric (United States)
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Most-cited papers
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
2020 · 16 citations
Quasi-Newton Trust Region Policy Optimization
2019 · 1 citations
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation
2020 · 1 citations
Learning global control of underactuated systems with Model-Based Reinforcement Learning
2025
FDPP: Fine-tune Diffusion Policy with Human Preference
2025
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics
2018
Model-based Policy Search for Partially Measurable Systems
2021
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
2021
Learning Control from Raw Position Measurements
2023
RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation
2024
Top co-authors
Daniel Nikovski
· 6
Alberto Dalla Libera
· 5
Devesh K. Jha
· 5
Ruggero Carli
· 4
Fabio Amadio
· 3
Jeroen van Baar
· 2
Alan P. Sullivan
· 1
Alan Sullivan
· 1
and Joshua B. Tenenbaum
· 1
Arvind Raghunathan
· 1
Bill Yerazunis
· 1
Devesh Jha
· 1
Topics
Model-Based RL
Policy Gradient
Safe RL
Exploration
RLHF & Alignment
Meta-RL