Learning Domain Invariant Representations in Goal-conditioned Block MDPs

27 October 2021

Jimmy Ba

Papers citing "Learning Domain Invariant Representations in Goal-conditioned Block MDPs"

42 / 42 papers shown

Title
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 70 3 0 23 Oct 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Ying Fan Jingling Li Adith Swaminathan Aditya Modi Ching-An Cheng OffRL 76 0 0 14 Aug 2024
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve Anthony Sicilia Xingchen Zhao Seong Jae Hwang OOD AI4CE 19 75 0 07 Feb 2021
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning Rishabh Agarwal Marlos C. Machado Pablo Samuel Castro Marc G. Bellemare OffRL 59 166 0 13 Jan 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 158 101 0 07 Jan 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 126 1,406 0 14 Dec 2020
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 27 41 0 04 Dec 2020
World Model as a Graph: Learning Latent Landmarks for Planning Lunjun Zhang Ge Yang Bradly C. Stadie DRL 28 73 0 25 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 43 69 0 17 Nov 2020
A Geometric Perspective on Self-Supervised Policy Adaptation Cristian Bodnar Karol Hausman Gabriel Dulac-Arnold Rico Jonschkowski SSL 46 5 0 14 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Yufei Wang G. Narasimhan Xingyu Lin Brian Okorn David Held OffRL LRM 37 14 0 13 Nov 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 45 64 0 14 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 46 161 0 08 Jul 2020
Feature Alignment and Restoration for Domain Generalization and Adaptation Xin Jin Cuiling Lan Wenjun Zeng Zhibo Chen OOD 42 39 0 22 Jun 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 73 469 0 18 Jun 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 22 653 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 50 779 0 28 Apr 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian Benjamin Swanson Gaurav Sukhatme Sergey Levine Chelsea Finn Karol Hausman OnRL CLL 43 43 0 21 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 58 1,073 0 08 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 36 26 0 06 Apr 2020
Invariant Causal Prediction for Block MDPs Amy Zhang Clare Lyle Shagun Sodhani Angelos Filos Marta Z. Kwiatkowska Joelle Pineau Y. Gal Doina Precup OffRL AI4CE OOD 56 139 0 12 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 100 18,523 0 13 Feb 2020
Generalizing to unseen domains via distribution matching Isabela Albuquerque João Monteiro Mohammad Javad Darvishi Bayazi T. Falk Ioannis Mitliagkas OOD 35 156 0 03 Nov 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation Suraj Nair Chelsea Finn VGen 38 138 0 12 Sep 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 125 2,190 0 05 Jul 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 40 89 0 10 Jun 2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning Carles Gelada Saurabh Kumar Jacob Buckman Ofir Nachum Marc G. Bellemare BDL 41 283 0 06 Jun 2019
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization K. Akuzawa Yusuke Iwasawa Y. Matsuo OOD 24 77 0 29 Apr 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 49 273 0 08 Mar 2019
Provably efficient RL with Rich Observations via Latent State Decoding S. Du A. Krishnamurthy Nan Jiang Alekh Agarwal Miroslav Dudík John Langford OffRL 13 230 0 25 Jan 2019
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 76 235 0 29 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 40 208 0 02 Oct 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 52 540 0 12 Jul 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration Alexandre Péré Sébastien Forestier Olivier Sigaud Pierre-Yves Oudeyer SSL DRL 18 95 0 02 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 120 5,121 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 154 8,236 0 04 Jan 2018
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 205 2,307 0 05 Jul 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 83 506 0 17 May 2017
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 73 633 0 03 Nov 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 206 6,722 0 19 Feb 2015
FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test Ji Zhao Deyu Meng 54 98 0 12 May 2014
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 81 2,348 0 15 May 2008