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Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection


Jul 04, 2022
Fabian K├╝ppers, Jonas Schneider, Anselm Haselhoff

* Submitted to SAIAD 2022 Workshop at ECCV, under review. Source code at https://github.com/EFS-OpenSource/calibration-framework 

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Confidence Calibration for Object Detection and Segmentation


Mar 02, 2022
Fabian K├╝ppers, Anselm Haselhoff, Jan Kronenberger, Jonas Schneider

* Book chapter in: Tim Fingerscheidt, Hanno Gottschalk, Sebastian Houben (eds.): "Deep Neural Networks and Data for Automated Driving", pp. 255--282, Springer Nature Switzerland, 2022 

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Bayesian Confidence Calibration for Epistemic Uncertainty Modelling


Sep 21, 2021
Fabian K├╝ppers, Jan Kronenberger, Jonas Schneider, Anselm Haselhoff

* Published at 32nd IEEE Intelligent Vehicles Symposium (IV) 2021 

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On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach


Aug 04, 2020
Kai Fabi, Jonas Schneider

* 18 pages, 15 figures 

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Dota 2 with Large Scale Deep Reinforcement Learning


Dec 13, 2019
OpenAI, :, Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemys┼éaw D─Öbiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Chris Hesse, Rafal J├│zefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique Pond├ę de Oliveira Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, Susan Zhang


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Solving Rubik's Cube with a Robot Hand


Oct 16, 2019
OpenAI, Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej, Mateusz Litwin, Bob McGrew, Arthur Petron, Alex Paino, Matthias Plappert, Glenn Powell, Raphael Ribas, Jonas Schneider, Nikolas Tezak, Jerry Tworek, Peter Welinder, Lilian Weng, Qiming Yuan, Wojciech Zaremba, Lei Zhang


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Learning Dexterous In-Hand Manipulation


Jan 18, 2019
OpenAI, Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Jozefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba

* Making OpenAI the first author. We wish this paper to be cited as "Learning Dexterous In-Hand Manipulation" by OpenAI et al. We are replicating the approach from the physics community: arXiv:1812.06489 

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Domain Randomization and Generative Models for Robotic Grasping


Apr 03, 2018
Joshua Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

* 8 pages, 11 figures. Submitted to 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018) 

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Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research


Mar 10, 2018
Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba


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