Reinforcement learning with model-based feedforward inputs for robotic table tennis

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Reinforcement learning with model-based feedforward inputs for robotic table tennis ; volume:47 ; number:8 ; day:17 ; month:10 ; year:2023 ; pages:1387-1403 ; date:12.2023
Autonomous robots ; 47, Heft 8 (17.10.2023), 1387-1403, 12.2023

Creator: Ma, Hao
Büchler, Dieter
Schölkopf, Bernhard
Muehlebach, Michael

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10514-023-10140-6

URN: urn:nbn:de:101:1-2024021511061889818710

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Ma, Hao
Büchler, Dieter
Schölkopf, Bernhard
Muehlebach, Michael
SpringerLink (Online service)

Other Objects (12)

Model-based feedforward control in industrial robotics

Deep Model-Based Reinforcement Learning for Predictive Control of Robotic Systems with Dense and Sparse Rewards

Autonomous robotic nanofabrication with reinforcement learning

Hochschulschrift

Model-based feed-forward control for mechatronic systems with structural elasticity

Model-based feedforward control for an optimized manipulation of acoustically levitated spheres

Application of feedforward and recurrent neural networks for model-based control systems

Policy Regularization for Model-Based Offline Reinforcement Learning

Model-based design of a wave-feedforward control strategy in floating wind turbines

Model-based design of a wave-feedforward control strategy in ﬂoating wind turbines

Sample-efficient deep reinforcement learning via automatic curriculum learning and model-based reinforcement learning

Data-efficient model-based reinforcement learning with trajectory discrimination

Pushing with Soft Robotic Arms via Deep Reinforcement Learning

Model-based feedforward control in industrial robotics

Deep Model-Based Reinforcement Learning for Predictive Control of Robotic Systems with Dense and Sparse Rewards

Autonomous robotic nanofabrication with reinforcement learning

Hochschulschrift

Model-based feed-forward control for mechatronic systems with structural elasticity

Model-based feedforward control for an optimized manipulation of acoustically levitated spheres

Application of feedforward and recurrent neural networks for model-based control systems

Policy Regularization for Model-Based Offline Reinforcement Learning

Model-based design of a wave-feedforward control strategy in floating wind turbines

Model-based design of a wave-feedforward control strategy in ﬂoating wind turbines

Sample-efficient deep reinforcement learning via automatic curriculum learning and model-based reinforcement learning

Data-efficient model-based reinforcement learning with trajectory discrimination

Pushing with Soft Robotic Arms via Deep Reinforcement Learning

Model-based feedforward control in industrial robotics

Deep Model-Based Reinforcement Learning for Predictive Control of Robotic Systems with Dense and Sparse Rewards

Autonomous robotic nanofabrication with reinforcement learning

Hochschulschrift

Model-based feed-forward control for mechatronic systems with structural elasticity

Model-based feedforward control for an optimized manipulation of acoustically levitated spheres

Application of feedforward and recurrent neural networks for model-based control systems

Policy Regularization for Model-Based Offline Reinforcement Learning

Model-based design of a wave-feedforward control strategy in floating wind turbines

Model-based design of a wave-feedforward control strategy in ﬂoating wind turbines

Sample-efficient deep reinforcement learning via automatic curriculum learning and model-based reinforcement learning

Data-efficient model-based reinforcement learning with trajectory discrimination

Pushing with Soft Robotic Arms via Deep Reinforcement Learning

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Reinforcement learning with model-based feedforward inputs for robotic table tennis

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Model-based feedforward control in industrial robotics

Deep Model-Based Reinforcement Learning for Predictive Control of Robotic Systems with Dense and Sparse Rewards

Autonomous robotic nanofabrication with reinforcement learning

Model-based feed-forward control for mechatronic systems with structural elasticity

Model-based feedforward control for an optimized manipulation of acoustically levitated spheres

Application of feedforward and recurrent neural networks for model-based control systems

Policy Regularization for Model-Based Offline Reinforcement Learning

Model-based design of a wave-feedforward control strategy in floating wind turbines

Model-based design of a wave-feedforward control strategy in ﬂoating wind turbines

Sample-efficient deep reinforcement learning via automatic curriculum learning and model-based reinforcement learning

Data-efficient model-based reinforcement learning with trajectory discrimination

Pushing with Soft Robotic Arms via Deep Reinforcement Learning

Model-based feedforward control in industrial robotics

Deep Model-Based Reinforcement Learning for Predictive Control of Robotic Systems with Dense and Sparse Rewards

Autonomous robotic nanofabrication with reinforcement learning

Model-based feed-forward control for mechatronic systems with structural elasticity

Model-based feedforward control for an optimized manipulation of acoustically levitated spheres

Application of feedforward and recurrent neural networks for model-based control systems

Policy Regularization for Model-Based Offline Reinforcement Learning

Model-based design of a wave-feedforward control strategy in floating wind turbines

Model-based design of a wave-feedforward control strategy in ﬂoating wind turbines

Sample-efficient deep reinforcement learning via automatic curriculum learning and model-based reinforcement learning

Data-efficient model-based reinforcement learning with trajectory discrimination

Pushing with Soft Robotic Arms via Deep Reinforcement Learning

Model-based feedforward control in industrial robotics

Deep Model-Based Reinforcement Learning for Predictive Control of Robotic Systems with Dense and Sparse Rewards

Autonomous robotic nanofabrication with reinforcement learning

Model-based feed-forward control for mechatronic systems with structural elasticity

Model-based feedforward control for an optimized manipulation of acoustically levitated spheres

Application of feedforward and recurrent neural networks for model-based control systems

Policy Regularization for Model-Based Offline Reinforcement Learning

Model-based design of a wave-feedforward control strategy in floating wind turbines

Model-based design of a wave-feedforward control strategy in ﬂoating wind turbines

Sample-efficient deep reinforcement learning via automatic curriculum learning and model-based reinforcement learning

Data-efficient model-based reinforcement learning with trajectory discrimination

Pushing with Soft Robotic Arms via Deep Reinforcement Learning

Related objects

Reset password