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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. NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 361-395. PMLR, (2020)

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Adrien Weingärtner

Adrien Schoof

Adrien Coyette

Adrien Coulet

Adrien Maudet

Other publications of authors with the same name

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)NeRFuser: Large-Scale Scene Representation by NeRF Fusion.J. Fang, S. Lin, I. Vasiljevic, V. Guizilini, R. Ambrus, A. Gaidon, G. Shakhnarovich, and M. Walter. CoRR, (2023)Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation.T. Kerola, J. Li, A. Kanehira, Y. Kudo, A. Vallet, and A. Gaidon. CoRR, (2021)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)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)CoCon: Cooperative-Contrastive Learning.N. Rai, E. Adeli, K. Lee, A. Gaidon, and J. Niebles. CVPR Workshops, page 3384-3393. Computer Vision Foundation / IEEE, (2021)Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation.T. Kerola, J. Li, A. Kanehira, Y. Kudo, A. Vallet, and A. Gaidon. CVPR, page 14413-14423. Computer Vision Foundation / IEEE, (2021)Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion.V. Guizilini, R. Ambrus, W. Burgard, and A. Gaidon. CVPR, page 11078-11088. Computer Vision Foundation / IEEE, (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
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.