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

Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation.

T. Dai, K. Arulkumaran, S. Tukra, F. Behbahani, and A. Bharath. CoRR, (2019)

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.

Peyman Behbahani

Djahangir Behbahani

Patrick M P Prokopczuk

Constantin P M Kahn

Other publications of authors with the same name

Modular Meta-Learning with Shrinkage.Y. Chen, A. Friesen, F. Behbahani, A. Doucet, D. Budden, M. Hoffman, and N. de Freitas. NeurIPS, (2020)Learning From Demonstration in the Wild.F. Behbahani, K. Shiarlis, X. Chen, V. Kurin, S. Kasewa, C. Stirbu, J. Gomes, S. Paul, F. Oliehoek, J. Messias and 1 other author(s). ICRA, page 775-781. IEEE, (2019)Learning from Demonstration in the Wild.F. Behbahani, K. Shiarlis, X. Chen, V. Kurin, S. Kasewa, C. Stirbu, J. Gomes, S. Paul, F. Oliehoek, J. Messias and 1 other author(s). CoRR, (2018)Extending World Models for Multi-Agent Reinforcement Learning in MALMÖ.V. Chockalingam, T. Sung, F. Behbahani, R. Gargeya, A. Sivanantham, and A. Malysheva. AIIDE Workshops, volume 2282 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Human-Timescale Adaptation in an Open-Ended Task Space.A. Team, J. Bauer, K. Baumli, S. Baveja, F. Behbahani, A. Bhoopchand, N. Bradley-Schmieg, M. Chang, N. Clay, A. Collister and 18 other author(s). CoRR, (2023)On the role of planning in model-based deep reinforcement learning.J. Hamrick, A. Friesen, F. Behbahani, A. Guez, F. Viola, S. Witherspoon, T. Anthony, L. Buesing, P. Velickovic, and T. Weber. ICLR, OpenReview.net, (2021)Haptic SLAM for context-aware robotic hand prosthetics - simultaneous inference of hand pose and object shape using particle filters.F. Behbahani, R. Taunton, A. Thomik, and A. Faisal. NER, page 719-722. IEEE, (2015)Many-Shot In-Context Learning.R. Agarwal, A. Singh, L. Zhang, B. Bohnet, S. Chan, A. Anand, Z. Abbas, A. Nova, J. Co-Reyes, E. Chu and 3 other author(s). CoRR, (2024)Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality.T. Zahavy, Y. Schroecker, F. Behbahani, K. Baumli, S. Flennerhag, S. Hou, and S. Singh. ICLR, OpenReview.net, (2023)Reverse-engineering the visual and haptic perceptual algorithms in the brain.F. Behbahani. Imperial College London, UK, (2016)British Library, EThOS.

BibSonomy

Disambiguation of "Behbahani, Feryal M. P."

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

Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation.

Please choose a person to relate this publication to

Peyman Behbahani

Djahangir Behbahani

Patrick M P Prokopczuk

Constantin P M Kahn

Constantin P M Kahn

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Behbahani, Feryal M. P."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation.

Please choose a person to relate this publication to

Peyman Behbahani

Djahangir Behbahani

Patrick M P Prokopczuk

Constantin P M Kahn

Constantin P M Kahn

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

Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation.