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2002.10621
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Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
25 February 2020
Alberto Dalla Libera
Diego Romeres
Devesh K. Jha
B. Yerazunis
D. Nikovski
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Papers citing
"Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements"
6 / 6 papers shown
Title
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning
Alberto Dalla Libera
Giulio Giacomuzzo
R. Carli
D. Nikovski
Diego Romeres
AI4CE
28
4
0
11 Jul 2023
Learning Control from Raw Position Measurements
Fabio Amadio
Alberto Dalla Libera
D. Nikovski
R. Carli
Diego Romeres
30
9
0
30 Jan 2023
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
Fabio Amadio
Alberto Dalla Libera
R. Antonello
D. Nikovski
R. Carli
Diego Romeres
42
29
0
28 Jan 2021
Model-based Policy Search for Partially Measurable Systems
Fabio Amadio
Alberto Dalla Libera
R. Carli
D. Nikovski
Diego Romeres
25
0
0
21 Jan 2021
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation
Keita Ota
Devesh K. Jha
Diego Romeres
J. Baar
Kevin A. Smith
Takayuki Semitsu
Tomoaki Oiki
Alan Sullivan
D. Nikovski
J. Tenenbaum
81
5
0
14 Nov 2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context
Wenyu Zhang
Skyler Seto
Devesh K. Jha
71
5
0
26 Mar 2020
1