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On overfitting and asymptotic bias in batch reinforcement learning with partial observability.

V. François-Lavet, D. Ernst, and R. Fonteneau. CoRR, (2017)

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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.

Damien Guironnet

Catalytic polymerization of acrylates and in supercritical carbon dioxideD. Guironnet. Uni Konstanz, (2009)

Damien Neyret

Damien Ciabrini

Damien Cassou

Damien Stehlé

Other publications of authors with the same name

A Cautious Approach to Generalization in Reinforcement Learning.R. Fonteneau, S. Murphy, L. Wehenkel, and D. Ernst. ICAART (1), page 64-73. INSTICC Press, (2010)Learning Exploration/Exploitation Strategies for Single Trajectory Reinforcement Learning.M. Castronovo, F. Maes, R. Fonteneau, and D. Ernst. EWRL, volume 24 of JMLR Proceedings, page 1-10. JMLR.org, (2012)Reinforcement learning applied to power system oscillations damping.D. Ernst. CDC, page 3043-3044. IEEE, (2001)Sparse Training Theory for Scalable and Efficient Agents.D. Mocanu, E. Mocanu, T. Pinto, S. Curci, P. Nguyen, M. Gibescu, D. Ernst, and Z. Vale. AAMAS, page 34-38. ACM, (2021)Reconstruction of Low-Voltage Networks with Limited Observability.D. Marulli, S. Mathieu, A. Benzerga, A. Sutera, and D. Ernst. ISGT-Europe, page 1-5. IEEE, (2021)Optimized Look-ahead Tree Search Policies.F. Maes, L. Wehenkel, and D. Ernst. EWRL, volume 7188 of Lecture Notes in Computer Science, page 189-200. Springer, (2011)Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning.F. Maes, R. Fonteneau, L. Wehenkel, and D. Ernst. Discovery Science, volume 7569 of Lecture Notes in Computer Science, page 37-51. Springer, (2012)Iteratively Extending Time Horizon Reinforcement Learning.D. Ernst, P. Geurts, and L. Wehenkel. ECML, volume 2837 of Lecture Notes in Computer Science, page 96-107. Springer, (2003)Towards Min Max Generalization in Reinforcement Learning.R. Fonteneau, S. Murphy, L. Wehenkel, and D. Ernst. ICAART (Revised Selected Papers), volume 129 of Communications in Computer and Information Science, page 61-77. Springer, (2010)Imitative Learning for Online Planning in Microgrids.S. Aittahar, V. François-Lavet, S. Lodeweyckx, D. Ernst, and R. Fonteneau. DARE, volume 9518 of Lecture Notes in Computer Science, page 1-15. Springer, (2015)

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Disambiguation of "Ernst, Damien"

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On overfitting and asymptotic bias in batch reinforcement learning with partial observability.

Please choose a person to relate this publication to

Damien Guironnet

Damien Neyret

Damien Ciabrini

Damien Cassou

Damien Stehlé

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ernst, Damien"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On overfitting and asymptotic bias in batch reinforcement learning with partial observability.

Please choose a person to relate this publication to

Damien Guironnet

Damien Neyret

Damien Ciabrini

Damien Cassou

Damien Stehlé

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
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On overfitting and asymptotic bias in batch reinforcement learning with partial observability.