Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms.

M. Sabatelli, G. Louppe, P. Geurts, and M. Wiering. IJCNN, page 1-8. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Wolfgang Matthiä

Daniel Matthiä

Hartmut Matthiä

Matthia Löbke

André Matthiä

Other publications of authors with the same name

Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithmsM. Sabatelli, G. Louppe, P. Geurts, and M. Wiering. (2019)cite arxiv:1909.01779.Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead.M. Sabatelli, F. Bidoia, V. Codreanu, and M. Wiering. ICPRAM, page 276-283. SciTePress, (2018)Safe and Psychologically Pleasant Traffic Signal Control with Reinforcement Learning using Action Masking.A. Müller, and M. Sabatelli. ITSC, page 951-958. IEEE, (2022)QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning.P. Leroy, D. Ernst, P. Geurts, G. Louppe, J. Pisane, and M. Sabatelli. CoRR, (2020)Deep Quality-Value (DQV) Learning.M. Sabatelli, G. Louppe, P. Geurts, and M. Wiering. BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)VDSC: Enhancing Exploration Timing with Value Discrepancy and State Counts.M. Captari, R. Sasso, and M. Sabatelli. CoRR, (2024)Forest Fire Control with Learning from Demonstration and Reinforcement Learning.T. Hammond, D. Schaap, M. Sabatelli, and M. Wiering. IJCNN, page 1-8. IEEE, (2020)Advances in Digital Music Iconography: Benchmarking the detection of musical instruments in unrestricted, non-photorealistic images from the artistic domain.M. Sabatelli, N. Banar, M. Cocriamont, E. Coudyzer, K. Lasaracina, W. Daelemans, P. Geurts, and M. Kestemont. Digit. Humanit. Q., (2021)Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning.A. Müller, and M. Sabatelli. ITSC, page 5271-5278. IEEE, (2023)On the Transferability of Winning Tickets in Non-natural Image Datasets.M. Sabatelli, M. Kestemont, and P. Geurts. VISIGRAPP (5: VISAPP), page 59-69. SCITEPRESS, (2021)

BibSonomy

Disambiguation of "Sabatelli, Matthia"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms.

Please choose a person to relate this publication to

Wolfgang Matthiä

Daniel Matthiä

Hartmut Matthiä

Matthia Löbke

André Matthiä

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sabatelli, Matthia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms.

Please choose a person to relate this publication to

Wolfgang Matthiä

Daniel Matthiä

Hartmut Matthiä

Matthia Löbke

André Matthiä

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms.