Equivariant Data Augmentation for Generalization in Offline
Reinforcement Learning

Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning

14 September 2023

Cristina Pinneri

Sarah Bechtle

Markus Wulfmeier

Arunkumar Byravan

William F. Whitney

Martin Riedmiller

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Papers citing "Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning"

14 / 14 papers shown

Title
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 75 162 0 30 Jun 2020
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 153 330 0 26 Jun 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 91 416 0 22 Jun 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 111 476 0 18 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 140 1,824 0 08 Jun 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 89 660 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 99 793 0 28 Apr 2020
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 133 1,774 0 24 May 2018
A Kernel Theory of Modern Data Augmentation Tri Dao Albert Gu Alexander J. Ratner Virginia Smith Christopher De Sa Christopher Ré 105 193 0 16 Mar 2018
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 135 1,072 0 12 Nov 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 70 350 0 06 Sep 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 268 2,337 0 05 Jul 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 259 2,972 0 20 Mar 2017
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 171 1,941 0 24 Feb 2016