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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

S. Mohanty, J. Poonganam, A. Gaidon, A. Kolobov, B. Wulfe, D. Chakraborty, G. Semetulskis, J. Schapke, J. Kubilius, J. Pasukonis, L. Klimas, M. Hausknecht, P. MacAlpine, Q. Tran, T. Tumiel, X. Tang, X. Chen, C. Hesse, J. Hilton, W. Guss, S. Genc, J. Schulman, and K. Cobbe. CoRR, (2021)

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Adrien Weingärtner

Adrien Schoof

Adrien Coyette

Adrien Coulet

Adrien Maudet

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SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation.S. Pillai, R. Ambrus, and A. Gaidon. ICRA, page 9250-9256. IEEE, (2019)Learning Imbalanced Datasets with Label-Distribution-Aware Margin LossK. Cao, C. Wei, A. Gaidon, N. Arechiga, and T. Ma. (2019)INRIA-LEAR'S Video Copy Detection System.M. Douze, A. Gaidon, H. Jégou, M. Marszalek, and C. Schmid. TRECVID, National Institute of Standards and Technology (NIST), (2008)Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances.V. Guizilini, J. Li, R. Ambrus, S. Pillai, and A. Gaidon. CoRL, volume 100 of Proceedings of Machine Learning Research, page 503-512. PMLR, (2019)Learning to Fuse Things and Stuff.J. Li, A. Raventos, A. Bhargava, T. Tagawa, and A. Gaidon. CoRR, (2018)HomE: Homography-Equivariant Video Representation Learning.A. Sriram, A. Gaidon, J. Wu, J. Niebles, L. Fei-Fei, and E. Adeli. CoRR, (2023)Depth Field Networks for Generalizable Multi-view Scene Representation.V. Guizilini, I. Vasiljevic, J. Fang, R. Ambrus, G. Shakhnarovich, M. Walter, and A. Gaidon. CoRR, (2022)Behaviorally Diverse Traffic Simulation via Reinforcement Learning.S. Shiroshita, S. Maruyama, D. Nishiyama, M. Castro, K. Hamzaoui, G. Rosman, J. DeCastro, K. Lee, and A. Gaidon. IROS, page 2103-2110. IEEE, (2020)The Reasonable Effectiveness of Synthetic Visual Data.A. Gaidon, A. López, and F. Perronnin. Int. J. Comput. Vis., 126 (9): 899-901 (2018)Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation.T. Kerola, J. Li, A. Kanehira, Y. Kudo, A. Vallet, and A. Gaidon. CoRR, (2021)

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Disambiguation of "Gaidon, Adrien"

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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

Please choose a person to relate this publication to

Adrien Weingärtner

Adrien Schoof

Adrien Coyette

Adrien Coulet

Adrien Maudet

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gaidon, Adrien"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

Please choose a person to relate this publication to

Adrien Weingärtner

Adrien Schoof

Adrien Coyette

Adrien Coulet

Adrien Maudet

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.