Distributionally Robust Policy Learning via Adversarial Environment Generation

13 July 2021

Allen Z. Ren

Anirudha Majumdar

Papers citing "Distributionally Robust Policy Learning via Adversarial Environment Generation"

30 / 30 papers shown

Title
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments Kehan Long Yinzhuang Yi Zhirui Dai Sylvia Herbert Jorge Cortés Nikolay Atanasov 258 5 0 28 May 2024
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Michael Dennis Natasha Jaques Eugene Vinitsky Alexandre M. Bayen Stuart J. Russell Andrew Critch Sergey Levine 78 234 0 03 Dec 2020
Learning perturbation sets for robust machine learning Eric Wong J. Zico Kolter OOD 54 81 0 16 Jul 2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds Kibok Lee Zhuoyuan Chen Xinchen Yan R. Urtasun Ersin Yumer 3DPC 53 32 0 24 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 87 43 0 20 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 87 660 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 96 791 0 28 Apr 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 79 129 0 19 Mar 2020
EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation D. Morrison Peter Corke Jurgen Leitner 154 139 0 03 Mar 2020
Adversarial Generation of Continuous Implicit Shape Representations Marian Kleineberg Matthias Fey F. Weichert 3DPC GAN 64 61 0 02 Feb 2020
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers Ameya Joshi Amitangshu Mukherjee Soumik Sarkar Chinmay Hegde AAML 65 100 0 17 Apr 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 64 263 0 09 Apr 2019
DeceptionNet: Network-Driven Domain Randomization Sergey Zakharov Wadim Kehl Slobodan Ilic OOD 44 92 0 04 Apr 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 131 3,688 0 16 Jan 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions Rui Wang Joel Lehman Jeff Clune Kenneth O. Stanley 92 249 0 07 Jan 2019
Generalizing to Unseen Domains via Adversarial Data Augmentation Riccardo Volpi Hongseok Namkoong Ozan Sener John C. Duchi Vittorio Murino Silvio Savarese OOD 119 784 0 30 May 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 78 528 0 18 Apr 2018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning Andy Zeng Shuran Song Stefan Welker Johnny Lee Alberto Rodriguez Thomas Funkhouser SSL 76 570 0 27 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 309 8,352 0 04 Jan 2018
The Robust Manifold Defense: Adversarial Training using Generative Models A. Jalal Andrew Ilyas C. Daskalakis A. Dimakis AAML 62 174 0 26 Dec 2017
Domain Randomization and Generative Models for Robotic Grasping Joshua Tobin Lukas Biewald Rocky Duan Marcin Andrychowicz Ankur Handa ... Bob McGrew Jonas Schneider Peter Welinder Wojciech Zaremba Pieter Abbeel OOD 81 175 0 17 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 307 12,069 0 19 Jun 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 253 2,966 0 20 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 484 14,320 0 02 Dec 2016
Quantifying Distributional Model Risk via Optimal Transport Jose H. Blanchet Karthyek Murthy 78 425 0 05 Apr 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 162 5,530 0 09 Dec 2015
Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations Peyman Mohajerin Esfahani Daniel Kuhn 77 1,661 0 19 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014