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2002.10621
Cited By

Model-Based Reinforcement Learning for Physical Systems Without Velocity
and Acceleration Measurements

Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements

IEEE Robotics and Automation Letters (RA-L), 2020

25 February 2020

Alberto Dalla Libera

ArXiv (abs)PDF HTML

Papers citing "Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements"

6 / 6 papers shown

Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning

Forward Dynamics Estimation from Data-Driven Inverse Dynamics LearningIFAC-PapersOnLine (IFAC-PapersOnLine), 2023

Alberto Dalla Libera

Giulio Giacomuzzo

132

5

0

11 Jul 2023

Learning Control from Raw Position Measurements

Learning Control from Raw Position MeasurementsAmerican Control Conference (ACC), 2023

Alberto Dalla Libera

280

10

0

30 Jan 2023

Model-Based Policy Search Using Monte Carlo Gradient Estimation with
Real Systems Application

Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems ApplicationIEEE Transactions on robotics (TRO), 2021

Alberto Dalla Libera

367

37

0

28 Jan 2021

Model-based Policy Search for Partially Measurable Systems

Model-based Policy Search for Partially Measurable Systems

Alberto Dalla Libera

167

0

0

21 Jan 2021

Data-Efficient Learning for Complex and Real-Time Physical Problem
Solving using Augmented Simulation

Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation

Takayuki Semitsu

333

5

0

14 Nov 2020

CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through
Context

CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through ContextIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020

450

5

0

26 Mar 2020

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